{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e25b3c8f-59c3-4b3f-b081-302426c2099c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "train=pd.read_csv('train.csv')\n",
    "test=pd.read_csv('test.csv')\n",
    "datas = pd.concat([train, test], ignore_index = True)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "066156b1-ee47-4c6e-8615-89e46959c27a",
   "metadata": {},
   "source": [
    "# PassengerId => 乘客ID\n",
    "\n",
    "# Pclass => 乘客等级(1/2/3等舱位)\n",
    "\n",
    "# Name => 乘客姓名\n",
    "\n",
    "# Sex => 性别\n",
    "\n",
    "# Age => 年龄\n",
    "\n",
    "# SibSp => 堂兄弟/妹个数\n",
    "\n",
    "# Parch => 父母与小孩个数\n",
    "\n",
    "# Ticket => 船票信息\n",
    "\n",
    "# Fare => 票价\n",
    "\n",
    "# Cabin => 客舱\n",
    "\n",
    "# Embarked => 登船港口"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "fbe4a68f-f946-4649-95b1-1a86f2c4eb39",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 891 entries, 0 to 890\n",
      "Data columns (total 14 columns):\n",
      " #   Column       Non-Null Count  Dtype  \n",
      "---  ------       --------------  -----  \n",
      " 0   PassengerId  891 non-null    int64  \n",
      " 1   Survived     891 non-null    float64\n",
      " 2   Pclass       891 non-null    int64  \n",
      " 3   Name         891 non-null    object \n",
      " 4   Sex          891 non-null    object \n",
      " 5   Age          714 non-null    float64\n",
      " 6   SibSp        891 non-null    int64  \n",
      " 7   Parch        891 non-null    int64  \n",
      " 8   Ticket       891 non-null    object \n",
      " 9   Fare         891 non-null    float64\n",
      " 10  Cabin        204 non-null    object \n",
      " 11  Embarked     889 non-null    object \n",
      " 12  Surname      891 non-null    object \n",
      " 13  FamilyGroup  891 non-null    int64  \n",
      "dtypes: float64(3), int64(5), object(6)\n",
      "memory usage: 104.4+ KB\n"
     ]
    }
   ],
   "source": [
    "train.info()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "f4f98546-176b-4209-8ba4-b53bc4cd16a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Survived\n",
       "0.0    549\n",
       "1.0    342\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['Survived'].value_counts()\n",
    "# 死亡549 活了342"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9ee9bf57-c9f2-4270-91df-5111aa430501",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Pclass', ylabel='Survived'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"Pclass\", y=\"Survived\", data=datas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b0e31070-68ed-4646-b56d-981e15b2f20b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Sex', ylabel='Survived'>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"Sex\", y=\"Survived\", data=datas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "7ec7e15d-2bb1-4730-a782-48cce66a101a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(39.11586516203704, 0.5, 'Survived')"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 672.125x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "facet = sns.FacetGrid(datas, hue=\"Survived\",aspect=2)\n",
    "facet.map(sns.kdeplot,'Age',shade= True)\n",
    "facet.set(xlim=(0, train['Age'].max()))\n",
    "facet.add_legend()\n",
    "plt.xlabel('Age') \n",
    "plt.ylabel('Survived') \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "88f4850d-0c3b-4e18-bad0-631052bb552c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='SibSp', ylabel='Survived'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"SibSp\", y=\"Survived\", data=datas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "216b2f6d-dc11-4f70-b44d-16a48ae8e13b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Parch', ylabel='Survived'>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"Parch\", y=\"Survived\", data=datas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "f010854b-b50c-4faf-ad8f-0043581b9969",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='FamilySize', ylabel='Survived'>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datas['FamilySize']=datas['SibSp']+datas['Parch']+1\n",
    "sns.barplot(x=\"FamilySize\", y=\"Survived\", data=datas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "528b8b5f-83d4-441d-8c2d-9c61bcac2db8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Title', ylabel='Survived'>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datas['Title'] = datas['Name'].apply(lambda x:x.split(',')[1].split('.')[0].strip())\n",
    "datas['Title'].replace(['Capt', 'Col', 'Major', 'Dr', 'Rev'],'Officer', inplace=True)\n",
    "datas['Title'].replace(['Don', 'Sir', 'the Countess', 'Dona', 'Lady'], 'Royalty', inplace=True)\n",
    "datas['Title'].replace(['Mme', 'Ms', 'Mrs'],'Mrs', inplace=True)\n",
    "datas['Title'].replace(['Mlle', 'Miss'], 'Miss', inplace=True)\n",
    "datas['Title'].replace(['Master','Jonkheer'],'Master', inplace=True)\n",
    "datas['Title'].replace(['Mr'], 'Mr', inplace=True)\n",
    "\n",
    "sns.barplot(x=\"Title\", y=\"Survived\", data=datas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "31f5ce70-1988-432f-940c-ef7c36b14b4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Fam_type', ylabel='Survived'>"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datas['Fam_size'] = datas['SibSp'] + datas['Parch'] + 1\n",
    "\n",
    "datas.loc[datas['Fam_size']>7,'Fam_type']=0\n",
    "datas.loc[(datas['Fam_size']>=2)&(datas['Fam_size']<=4),'Fam_type']=2\n",
    "datas.loc[(datas['Fam_size']>4)&(datas['Fam_size']<=7)|(datas['Fam_size']==1),'Fam_type']=1\n",
    "datas['Fam_type']=datas['Fam_type'].astype(np.int32)\n",
    "\n",
    "sns.barplot(x=\"Fam_type\", y=\"Survived\", data=datas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "7797b82b-49d7-4603-9d32-6965a542f5c6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Surname</th>\n",
       "      <th>FamilyGroup</th>\n",
       "      <th>Title</th>\n",
       "      <th>FamilySize</th>\n",
       "      <th>Fam_size</th>\n",
       "      <th>Fam_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Braund, Mr. Owen Harris</td>\n",
       "      <td>male</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 21171</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>Braund</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cumings, Mrs. John Bradley (Florence Briggs Thayer)</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17599</td>\n",
       "      <td>71.2833</td>\n",
       "      <td>C85</td>\n",
       "      <td>C</td>\n",
       "      <td>Cumings</td>\n",
       "      <td>2</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Heikkinen, Miss. Laina</td>\n",
       "      <td>female</td>\n",
       "      <td>26.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>STON/O2. 3101282</td>\n",
       "      <td>7.9250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>Heikkinen</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n",
       "      <td>female</td>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>113803</td>\n",
       "      <td>53.1000</td>\n",
       "      <td>C123</td>\n",
       "      <td>S</td>\n",
       "      <td>Futrelle</td>\n",
       "      <td>2</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Allen, Mr. William Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>35.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>373450</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>Allen</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PassengerId  Survived  Pclass                                                 Name     Sex   Age  SibSp  Parch            Ticket     Fare Cabin Embarked    Surname  FamilyGroup Title  FamilySize  Fam_size  Fam_type\n",
       "0            1       0.0       3                              Braund, Mr. Owen Harris    male  22.0      1      0         A/5 21171   7.2500   NaN        S     Braund            2    Mr           2         2         2\n",
       "1            2       1.0       1  Cumings, Mrs. John Bradley (Florence Briggs Thayer)  female  38.0      1      0          PC 17599  71.2833   C85        C    Cumings            2   Mrs           2         2         2\n",
       "2            3       1.0       3                               Heikkinen, Miss. Laina  female  26.0      0      0  STON/O2. 3101282   7.9250   NaN        S  Heikkinen            1  Miss           1         1         1\n",
       "3            4       1.0       1         Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1      0            113803  53.1000  C123        S   Futrelle            2   Mrs           2         2         2\n",
       "4            5       0.0       3                             Allen, Mr. William Henry    male  35.0      0      0            373450   8.0500   NaN        S      Allen            2    Mr           1         1         1"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datas.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "ff0231f7-09e7-45af-9a52-dc2a1c3fed4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "datas['Cabin'] = datas['Cabin'].fillna('U')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "ff78e5ba-d692-41b3-b29f-e03bef576f81",
   "metadata": {},
   "outputs": [],
   "source": [
    "datas['Board']=datas['Cabin'].str.get(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "b9ac476a-7865-4e10-86a5-21ca6edf8173",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Board', ylabel='Survived'>"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datas['Cabin'] = datas['Cabin'].fillna('U')\n",
    "datas['Board']=datas['Cabin'].str.get(0)\n",
    "sns.barplot(x=\"Board\", y=\"Survived\", data=datas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "740e481a-c731-40c6-a2a3-451da78a9e46",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ticket\n",
       "CA. 2343              11\n",
       "CA 2144                8\n",
       "1601                   8\n",
       "PC 17608               7\n",
       "S.O.C. 14879           7\n",
       "347077                 7\n",
       "347082                 7\n",
       "3101295                7\n",
       "19950                  6\n",
       "113781                 6\n",
       "347088                 6\n",
       "382652                 6\n",
       "4133                   5\n",
       "W./C. 6608             5\n",
       "PC 17757               5\n",
       "349909                 5\n",
       "220845                 5\n",
       "113503                 5\n",
       "16966                  5\n",
       "LINE                   4\n",
       "C.A. 33112             4\n",
       "PC 17755               4\n",
       "C.A. 34651             4\n",
       "12749                  4\n",
       "PC 17760               4\n",
       "230136                 4\n",
       "SC/Paris 2123          4\n",
       "W./C. 6607             4\n",
       "PC 17483               4\n",
       "2666                   4\n",
       "C.A. 2315              4\n",
       "17421                  4\n",
       "113760                 4\n",
       "24160                  4\n",
       "36928                  4\n",
       "S.C./PARIS 2079        3\n",
       "315153                 3\n",
       "371110                 3\n",
       "PC 17761               3\n",
       "PC 17558               3\n",
       "230080                 3\n",
       "363291                 3\n",
       "248727                 3\n",
       "2668                   3\n",
       "2678                   3\n",
       "A/5. 851               3\n",
       "A/4 48871              3\n",
       "370129                 3\n",
       "35273                  3\n",
       "PC 17756               3\n",
       "28220                  3\n",
       "345773                 3\n",
       "347080                 3\n",
       "2653                   3\n",
       "C.A. 31029             3\n",
       "33638                  3\n",
       "C.A. 37671             3\n",
       "F.C.C. 13529           3\n",
       "11767                  3\n",
       "PC 17758               3\n",
       "367226                 3\n",
       "19877                  3\n",
       "SOTON/O.Q. 3101315     3\n",
       "C.A. 2673              3\n",
       "239853                 3\n",
       "13502                  3\n",
       "PC 17582               3\n",
       "110413                 3\n",
       "110152                 3\n",
       "2650                   3\n",
       "248738                 3\n",
       "26360                  3\n",
       "19928                  3\n",
       "C 4001                 3\n",
       "C.A. 31921             3\n",
       "29103                  3\n",
       "29106                  3\n",
       "2662                   3\n",
       "347742                 3\n",
       "2661                   3\n",
       "PP 9549                3\n",
       "29750                  3\n",
       "PC 17569               3\n",
       "PC 17572               3\n",
       "364516                 2\n",
       "349237                 2\n",
       "21228                  2\n",
       "17453                  2\n",
       "F.C.C. 13528           2\n",
       "11813                  2\n",
       "17464                  2\n",
       "243847                 2\n",
       "347054                 2\n",
       "112378                 2\n",
       "PC 17611               2\n",
       "370371                 2\n",
       "111361                 2\n",
       "2699                   2\n",
       "24065                  2\n",
       "364498                 2\n",
       "113806                 2\n",
       "236853                 2\n",
       "2625                   2\n",
       "PC 17599               2\n",
       "113509                 2\n",
       "2926                   2\n",
       "13508                  2\n",
       "370365                 2\n",
       "364849                 2\n",
       "345572                 2\n",
       "11778                  2\n",
       "386525                 2\n",
       "244358                 2\n",
       "112058                 2\n",
       "2908                   2\n",
       "WE/P 5735              2\n",
       "19943                  2\n",
       "226875                 2\n",
       "SC/PARIS 2167          2\n",
       "230433                 2\n",
       "239865                 2\n",
       "350026                 2\n",
       "PC 17485               2\n",
       "C.A. 6212              2\n",
       "PC 17604               2\n",
       "P/PP 3381              2\n",
       "113798                 2\n",
       "250644                 2\n",
       "36947                  2\n",
       "19996                  2\n",
       "F.C. 12750             2\n",
       "350405                 2\n",
       "250647                 2\n",
       "31027                  2\n",
       "11967                  2\n",
       "113789                 2\n",
       "36568                  2\n",
       "13050                  2\n",
       "250651                 2\n",
       "PC 17603               2\n",
       "26707                  2\n",
       "345763                 2\n",
       "367230                 2\n",
       "S.O./P.P. 2            2\n",
       "11668                  2\n",
       "PC 17592               2\n",
       "250649                 2\n",
       "11751                  2\n",
       "244252                 2\n",
       "392091                 2\n",
       "A/5. 3336              2\n",
       "2651                   2\n",
       "345764                 2\n",
       "PC 17585               2\n",
       "347072                 2\n",
       "3101298                2\n",
       "113505                 2\n",
       "113796                 2\n",
       "28664                  2\n",
       "237736                 2\n",
       "13236                  2\n",
       "228414                 2\n",
       "A/5. 3337              2\n",
       "17463                  2\n",
       "250655                 2\n",
       "29105                  2\n",
       "SC/AH 29037            2\n",
       "2003                   2\n",
       "54636                  2\n",
       "W.E.P. 5734            2\n",
       "17474                  2\n",
       "S.O./P.P. 3            2\n",
       "2627                   2\n",
       "7534                   2\n",
       "11753                  2\n",
       "2659                   2\n",
       "PC 17759               2\n",
       "349256                 2\n",
       "2665                   2\n",
       "110465                 2\n",
       "376566                 2\n",
       "349910                 2\n",
       "231919                 2\n",
       "244367                 2\n",
       "113803                 2\n",
       "F.C.C. 13534           2\n",
       "28403                  2\n",
       "35281                  2\n",
       "3101278                2\n",
       "13567                  2\n",
       "358585                 2\n",
       "PC 17477               2\n",
       "2691                   2\n",
       "113773                 2\n",
       "392096                 2\n",
       "11769                  2\n",
       "C.A. 33595             2\n",
       "371362                 2\n",
       "13507                  2\n",
       "110813                 2\n",
       "113059                 2\n",
       "2660                   2\n",
       "PC 17597               2\n",
       "13695                  2\n",
       "PC 17593               2\n",
       "113572                 2\n",
       "2680                   2\n",
       "36973                  2\n",
       "STON/O2. 3101279       2\n",
       "376564                 2\n",
       "237789                 2\n",
       "SC/AH 3085             2\n",
       "2689                   2\n",
       "11765                  2\n",
       "113776                 2\n",
       "CA 31352               2\n",
       "370374                 1\n",
       "349217                 1\n",
       "SOTON/O.Q. 3101263     1\n",
       "112053                 1\n",
       "349257                 1\n",
       "STON/O 2. 3101291      1\n",
       "113028                 1\n",
       "7552                   1\n",
       "C.A./SOTON 34068       1\n",
       "237249                 1\n",
       "PC 17594               1\n",
       "348121                 1\n",
       "SOTON/OQ 392076        1\n",
       "7545                   1\n",
       "PC 17482               1\n",
       "211536                 1\n",
       "363272                 1\n",
       "113778                 1\n",
       "2657                   1\n",
       "2698                   1\n",
       "C 17368                1\n",
       "2696                   1\n",
       "STON/O2. 3101270       1\n",
       "113054                 1\n",
       "349212                 1\n",
       "2692                   1\n",
       "36864                  1\n",
       "350025                 1\n",
       "233734                 1\n",
       "694                    1\n",
       "349220                 1\n",
       "2682                   1\n",
       "345768                 1\n",
       "330972                 1\n",
       "7538                   1\n",
       "315154                 1\n",
       "342712                 1\n",
       "240276                 1\n",
       "PC 17598               1\n",
       "223596                 1\n",
       "330911                 1\n",
       "315087                 1\n",
       "370376                 1\n",
       "PC 17476               1\n",
       "111369                 1\n",
       "PC 17475               1\n",
       "C.A. 5547              1\n",
       "348124                 1\n",
       "PC 17600               1\n",
       "2687                   1\n",
       "113501                 1\n",
       "233639                 1\n",
       "SOTON/O.Q. 3101312     1\n",
       "28425                  1\n",
       "374887                 1\n",
       "3101265                1\n",
       "12460                  1\n",
       "349203                 1\n",
       "383121                 1\n",
       "239855                 1\n",
       "28213                  1\n",
       "STON/O2. 3101271       1\n",
       "17465                  1\n",
       "349244                 1\n",
       "2685                   1\n",
       "36866                  1\n",
       "347089                 1\n",
       "36865                  1\n",
       "347078                 1\n",
       "2667                   1\n",
       "2663                   1\n",
       "345780                 1\n",
       "250648                 1\n",
       "349204                 1\n",
       "350042                 1\n",
       "29108                  1\n",
       "STON/O 2. 3101288      1\n",
       "363294                 1\n",
       "SOTON/O2 3101272       1\n",
       "347074                 1\n",
       "349201                 1\n",
       "112379                 1\n",
       "364850                 1\n",
       "8471                   1\n",
       "345781                 1\n",
       "350047                 1\n",
       "16988                  1\n",
       "2674                   1\n",
       "349218                 1\n",
       "347063                 1\n",
       "112050                 1\n",
       "347087                 1\n",
       "34218                  1\n",
       "349213                 1\n",
       "347060                 1\n",
       "12233                  1\n",
       "350048                 1\n",
       "347062                 1\n",
       "113055                 1\n",
       "2629                   1\n",
       "28134                  1\n",
       "17466                  1\n",
       "248723                 1\n",
       "233866                 1\n",
       "236852                 1\n",
       "SC/PARIS 2149          1\n",
       "PC 17590               1\n",
       "345777                 1\n",
       "349248                 1\n",
       "695                    1\n",
       "345765                 1\n",
       "335097                 1\n",
       "250643                 1\n",
       "315090                 1\n",
       "2683                   1\n",
       "SC/PARIS 2168          1\n",
       "28206                  1\n",
       "364499                 1\n",
       "STON/O2. 3101290       1\n",
       "315094                 1\n",
       "C 7075                 1\n",
       "315098                 1\n",
       "19972                  1\n",
       "368323                 1\n",
       "367228                 1\n",
       "2671                   1\n",
       "347468                 1\n",
       "2223                   1\n",
       "315097                 1\n",
       "392092                 1\n",
       "11774                  1\n",
       "SOTON/O2 3101287       1\n",
       "3474                   1\n",
       "A/5 21171              1\n",
       "SC/A.3 2861            1\n",
       "349202                 1\n",
       "315085                 1\n",
       "364859                 1\n",
       "A/5 21175              1\n",
       "SOTON/O.Q. 3101314     1\n",
       "2655                   1\n",
       "A/5 1478               1\n",
       "PC 17607               1\n",
       "382650                 1\n",
       "2652                   1\n",
       "345771                 1\n",
       "113801                 1\n",
       "SC 14888               1\n",
       "347467                 1\n",
       "347079                 1\n",
       "237735                 1\n",
       "315092                 1\n",
       "383123                 1\n",
       "112901                 1\n",
       "315091                 1\n",
       "2658                   1\n",
       "LP 1588                1\n",
       "368364                 1\n",
       "W./C. 14260            1\n",
       "2676                   1\n",
       "242963                 1\n",
       "C.A. 42795             1\n",
       "3101266                1\n",
       "330971                 1\n",
       "350416                 1\n",
       "2679                   1\n",
       "250650                 1\n",
       "112377                 1\n",
       "3470                   1\n",
       "SOTON/O2 3101284       1\n",
       "7266                   1\n",
       "345775                 1\n",
       "AQ/4 3130              1\n",
       "368573                 1\n",
       "363611                 1\n",
       "28404                  1\n",
       "345501                 1\n",
       "350410                 1\n",
       "C.A. 34644             1\n",
       "349235                 1\n",
       "112051                 1\n",
       "C.A. 49867             1\n",
       "A. 2. 39186            1\n",
       "315095                 1\n",
       "AQ/3. 30631            1\n",
       "28004                  1\n",
       "350408                 1\n",
       "C.A. 30769             1\n",
       "248746                 1\n",
       "315152                 1\n",
       "29107                  1\n",
       "680                    1\n",
       "366713                 1\n",
       "330910                 1\n",
       "SC/PARIS 2159          1\n",
       "349911                 1\n",
       "244346                 1\n",
       "364858                 1\n",
       "371109                 1\n",
       "347075                 1\n",
       "347065                 1\n",
       "21332                  1\n",
       "17765                  1\n",
       "SC/PARIS 2166          1\n",
       "28666                  1\n",
       "334915                 1\n",
       "365237                 1\n",
       "347086                 1\n",
       "A.5. 3236              1\n",
       "SOTON/O.Q. 3101262     1\n",
       "28133                  1\n",
       "SC/PARIS 2147          1\n",
       "315083                 1\n",
       "368402                 1\n",
       "2654                   1\n",
       "244368                 1\n",
       "113790                 1\n",
       "SOTON/O.Q. 3101309     1\n",
       "236854                 1\n",
       "PC 17580               1\n",
       "2684                   1\n",
       "349229                 1\n",
       "110469                 1\n",
       "244360                 1\n",
       "2675                   1\n",
       "2622                   1\n",
       "C.A. 15185             1\n",
       "350403                 1\n",
       "348125                 1\n",
       "237670                 1\n",
       "2688                   1\n",
       "248726                 1\n",
       "F.C.C. 13540           1\n",
       "113044                 1\n",
       "1222                   1\n",
       "113795                 1\n",
       "370368                 1\n",
       "349230                 1\n",
       "PC 17531               1\n",
       "347471                 1\n",
       "A./5. 3338             1\n",
       "365235                 1\n",
       "347070                 1\n",
       "330920                 1\n",
       "383162                 1\n",
       "3410                   1\n",
       "248734                 1\n",
       "237734                 1\n",
       "330968                 1\n",
       "329944                 1\n",
       "350033                 1\n",
       "2681                   1\n",
       "367227                 1\n",
       "392095                 1\n",
       "368783                 1\n",
       "350045                 1\n",
       "211535                 1\n",
       "363592                 1\n",
       "342441                 1\n",
       "STON/OQ. 369943        1\n",
       "113780                 1\n",
       "STON/O 2. 3101268      1\n",
       "13905                  1\n",
       "350054                 1\n",
       "PC 17562               1\n",
       "348122                 1\n",
       "349232                 1\n",
       "237216                 1\n",
       "347090                 1\n",
       "334914                 1\n",
       "330963                 1\n",
       "2543                   1\n",
       "382653                 1\n",
       "349211                 1\n",
       "3101297                1\n",
       "359306                 1\n",
       "376563                 1\n",
       "11770                  1\n",
       "248744                 1\n",
       "368702                 1\n",
       "19924                  1\n",
       "349238                 1\n",
       "240261                 1\n",
       "330844                 1\n",
       "A/4 31416              1\n",
       "364856                 1\n",
       "345498                 1\n",
       "2621                   1\n",
       "349226                 1\n",
       "350409                 1\n",
       "PC 17613               1\n",
       "111163                 1\n",
       "235509                 1\n",
       "347465                 1\n",
       "347066                 1\n",
       "C.A. 31030             1\n",
       "65305                  1\n",
       "C.A. 34050             1\n",
       "F.C. 12998             1\n",
       "9232                   1\n",
       "28034                  1\n",
       "349250                 1\n",
       "2656                   1\n",
       "SOTON/O.Q. 3101308     1\n",
       "347091                 1\n",
       "113038                 1\n",
       "330924                 1\n",
       "32302                  1\n",
       "SC/PARIS 2148          1\n",
       "342684                 1\n",
       "W./C. 14266            1\n",
       "350053                 1\n",
       "PC 17606               1\n",
       "28221                  1\n",
       "A/4 48873              1\n",
       "239059                 1\n",
       "7935                   1\n",
       "248659                 1\n",
       "SOTON/OQ 392083        1\n",
       "17475                  1\n",
       "SC/A4 23568            1\n",
       "113791                 1\n",
       "349255                 1\n",
       "3701                   1\n",
       "S.O./P.P. 752          1\n",
       "347469                 1\n",
       "110489                 1\n",
       "335432                 1\n",
       "220844                 1\n",
       "343271                 1\n",
       "237393                 1\n",
       "PC 17591               1\n",
       "17770                  1\n",
       "7548                   1\n",
       "S.O./P.P. 251          1\n",
       "2670                   1\n",
       "2673                   1\n",
       "233478                 1\n",
       "35852                  1\n",
       "218629                 1\n",
       "248731                 1\n",
       "237442                 1\n",
       "SOTON/OQ 392089        1\n",
       "220367                 1\n",
       "21440                  1\n",
       "349234                 1\n",
       "PP 4348                1\n",
       "SW/PP 751              1\n",
       "A/5 21173              1\n",
       "236171                 1\n",
       "347067                 1\n",
       "C.A. 29566             1\n",
       "112059                 1\n",
       "W./C. 6609             1\n",
       "28665                  1\n",
       "SCO/W 1585             1\n",
       "W./C. 14263            1\n",
       "STON/O 2. 3101275      1\n",
       "2694                   1\n",
       "347071                 1\n",
       "362316                 1\n",
       "113514                 1\n",
       "W/C 14208              1\n",
       "STON/O2. 3101283       1\n",
       "367229                 1\n",
       "250646                 1\n",
       "113767                 1\n",
       "111428                 1\n",
       "349247                 1\n",
       "234604                 1\n",
       "28424                  1\n",
       "350046                 1\n",
       "PC 17610               1\n",
       "368703                 1\n",
       "4579                   1\n",
       "370370                 1\n",
       "248747                 1\n",
       "345770                 1\n",
       "3101264                1\n",
       "2628                   1\n",
       "A/5 3540               1\n",
       "367231                 1\n",
       "112277                 1\n",
       "SOTON/O.Q. 3101311     1\n",
       "A/5 21174              1\n",
       "384461                 1\n",
       "382649                 1\n",
       "2647                   1\n",
       "349225                 1\n",
       "349243                 1\n",
       "347470                 1\n",
       "29011                  1\n",
       "A/5 21172              1\n",
       "349219                 1\n",
       "234818                 1\n",
       "345364                 1\n",
       "28551                  1\n",
       "113043                 1\n",
       "7598                   1\n",
       "C.A. 17248             1\n",
       "113784                 1\n",
       "248740                 1\n",
       "244361                 1\n",
       "229236                 1\n",
       "248733                 1\n",
       "31418                  1\n",
       "315088                 1\n",
       "7267                   1\n",
       "113510                 1\n",
       "A/5 2466               1\n",
       "226593                 1\n",
       "9234                   1\n",
       "19988                  1\n",
       "347083                 1\n",
       "PC 17596               1\n",
       "370375                 1\n",
       "347073                 1\n",
       "336439                 1\n",
       "347464                 1\n",
       "345778                 1\n",
       "A/5. 10482             1\n",
       "113056                 1\n",
       "349239                 1\n",
       "345774                 1\n",
       "349206                 1\n",
       "237798                 1\n",
       "370373                 1\n",
       "SC/Paris 2163          1\n",
       "349236                 1\n",
       "349233                 1\n",
       "PC 17612               1\n",
       "2693                   1\n",
       "SC/PARIS 2131          1\n",
       "250653                 1\n",
       "PC 17595               1\n",
       "S.P. 3464              1\n",
       "S.C./A.4. 23567        1\n",
       "14311                  1\n",
       "A/4. 39886             1\n",
       "19947                  1\n",
       "C.A. 31026             1\n",
       "2697                   1\n",
       "2669                   1\n",
       "PC 17605               1\n",
       "C.A. 29395             1\n",
       "3101281                1\n",
       "350404                 1\n",
       "315151                 1\n",
       "C.A. 33111             1\n",
       "348123                 1\n",
       "349208                 1\n",
       "374746                 1\n",
       "345767                 1\n",
       "345779                 1\n",
       "330932                 1\n",
       "SO/C 14885             1\n",
       "330958                 1\n",
       "349253                 1\n",
       "7546                   1\n",
       "A./5. 2152             1\n",
       "STON/O2. 3101282       1\n",
       "373450                 1\n",
       "330877                 1\n",
       "113783                 1\n",
       "A/5. 2151              1\n",
       "350406                 1\n",
       "248706                 1\n",
       "244373                 1\n",
       "2649                   1\n",
       "248698                 1\n",
       "330923                 1\n",
       "113788                 1\n",
       "2631                   1\n",
       "330959                 1\n",
       "349216                 1\n",
       "PC 17601               1\n",
       "335677                 1\n",
       "C.A. 24579             1\n",
       "2677                   1\n",
       "SOTON/OQ 392086        1\n",
       "343275                 1\n",
       "343276                 1\n",
       "SOTON/O.Q. 3101307     1\n",
       "SC/PARIS 2133          1\n",
       "11752                  1\n",
       "347081                 1\n",
       "365222                 1\n",
       "231945                 1\n",
       "350043                 1\n",
       "244310                 1\n",
       "S.O.P. 1166            1\n",
       "A.5. 11206             1\n",
       "Fa 265302              1\n",
       "35851                  1\n",
       "SOTON/OQ 392090        1\n",
       "315037                 1\n",
       "347068                 1\n",
       "315093                 1\n",
       "PC 17318               1\n",
       "111240                 1\n",
       "STON/O 2. 3101280      1\n",
       "17764                  1\n",
       "C.A. 29178             1\n",
       "349241                 1\n",
       "347466                 1\n",
       "347061                 1\n",
       "364500                 1\n",
       "374910                 1\n",
       "PC 17754               1\n",
       "349245                 1\n",
       "349215                 1\n",
       "7540                   1\n",
       "3101276                1\n",
       "349207                 1\n",
       "343120                 1\n",
       "312991                 1\n",
       "349249                 1\n",
       "324669                 1\n",
       "4136                   1\n",
       "STON/O 2. 3101294      1\n",
       "370369                 1\n",
       "A4. 54510              1\n",
       "27267                  1\n",
       "370372                 1\n",
       "C 17369                1\n",
       "2695                   1\n",
       "345783                 1\n",
       "113800                 1\n",
       "13049                  1\n",
       "349205                 1\n",
       "2686                   1\n",
       "350417                 1\n",
       "S.W./PP 752            1\n",
       "PC 17474               1\n",
       "14312                  1\n",
       "A/4. 20589             1\n",
       "243880                 1\n",
       "STON/O 2. 3101286      1\n",
       "3411                   1\n",
       "349246                 1\n",
       "237565                 1\n",
       "14973                  1\n",
       "A./5. 3235             1\n",
       "STON/O 2. 3101273      1\n",
       "A/5 3902               1\n",
       "364848                 1\n",
       "2664                   1\n",
       "349214                 1\n",
       "364511                 1\n",
       "SOTON/O.Q. 392087      1\n",
       "SOTON/OQ 392082        1\n",
       "349251                 1\n",
       "372622                 1\n",
       "349252                 1\n",
       "2624                   1\n",
       "2700                   1\n",
       "367232                 1\n",
       "W./C. 14258            1\n",
       "3101296                1\n",
       "29104                  1\n",
       "2641                   1\n",
       "2690                   1\n",
       "315084                 1\n",
       "113050                 1\n",
       "13568                  1\n",
       "693                    1\n",
       "SC/PARIS 2146          1\n",
       "330979                 1\n",
       "2620                   1\n",
       "347085                 1\n",
       "113807                 1\n",
       "11755                  1\n",
       "111426                 1\n",
       "113804                 1\n",
       "237671                 1\n",
       "C.A. 24580             1\n",
       "349223                 1\n",
       "29751                  1\n",
       "2623                   1\n",
       "5727                   1\n",
       "349210                 1\n",
       "STON/O 2. 3101285      1\n",
       "234686                 1\n",
       "312993                 1\n",
       "A/5 3536               1\n",
       "244270                 1\n",
       "SOTON/O.Q. 3101305     1\n",
       "239856                 1\n",
       "349912                 1\n",
       "342826                 1\n",
       "4138                   1\n",
       "330935                 1\n",
       "6563                   1\n",
       "349228                 1\n",
       "350036                 1\n",
       "2672                   1\n",
       "365226                 1\n",
       "330919                 1\n",
       "8475                   1\n",
       "349221                 1\n",
       "370377                 1\n",
       "364512                 1\n",
       "31028                  1\n",
       "350029                 1\n",
       "36963                  1\n",
       "219533                 1\n",
       "349224                 1\n",
       "334912                 1\n",
       "27042                  1\n",
       "347743                 1\n",
       "13214                  1\n",
       "112052                 1\n",
       "237668                 1\n",
       "STON/O 2. 3101292      1\n",
       "350050                 1\n",
       "349231                 1\n",
       "13213                  1\n",
       "S.O./P.P. 751          1\n",
       "CA. 2314               1\n",
       "349242                 1\n",
       "C.A. 34260             1\n",
       "36967                  1\n",
       "250652                 1\n",
       "341826                 1\n",
       "4137                   1\n",
       "315096                 1\n",
       "347064                 1\n",
       "312992                 1\n",
       "349222                 1\n",
       "394140                 1\n",
       "STON/O 2. 3101269      1\n",
       "343095                 1\n",
       "28228                  1\n",
       "349209                 1\n",
       "349254                 1\n",
       "A/5. 13032             1\n",
       "315082                 1\n",
       "A/4. 34244             1\n",
       "364851                 1\n",
       "SOTON/O.Q. 392078      1\n",
       "110564                 1\n",
       "STON/O 2. 3101274      1\n",
       "C.A. 18723             1\n",
       "STON/O 2. 3101289      1\n",
       "240929                 1\n",
       "244278                 1\n",
       "350407                 1\n",
       "330931                 1\n",
       "330980                 1\n",
       "SOTON/O.Q. 3101310     1\n",
       "C 7076                 1\n",
       "2626                   1\n",
       "14313                  1\n",
       "3101267                1\n",
       "323951                 1\n",
       "C 7077                 1\n",
       "2648                   1\n",
       "347069                 1\n",
       "STON/O 2. 3101293      1\n",
       "349227                 1\n",
       "27849                  1\n",
       "367655                 1\n",
       "SC 1748                1\n",
       "350034                 1\n",
       "3101277                1\n",
       "350052                 1\n",
       "345769                 1\n",
       "347076                 1\n",
       "230434                 1\n",
       "3460                   1\n",
       "239854                 1\n",
       "A/5 3594               1\n",
       "4134                   1\n",
       "11771                  1\n",
       "A.5. 18509             1\n",
       "65304                  1\n",
       "SOTON/OQ 3101317       1\n",
       "113787                 1\n",
       "PC 17609               1\n",
       "A/4 45380              1\n",
       "350035                 1\n",
       "315086                 1\n",
       "364846                 1\n",
       "330909                 1\n",
       "4135                   1\n",
       "111427                 1\n",
       "382651                 1\n",
       "SOTON/OQ 3101316       1\n",
       "PC 17473               1\n",
       "350060                 1\n",
       "7553                   1\n",
       "65306                  1\n",
       "SC/AH Basle 541        1\n",
       "113794                 1\n",
       "113786                 1\n",
       "65303                  1\n",
       "113051                 1\n",
       "A/5 2817               1\n",
       "349240                 1\n",
       "13509                  1\n",
       "F.C.C. 13531           1\n",
       "371060                 1\n",
       "19952                  1\n",
       "364506                 1\n",
       "111320                 1\n",
       "234360                 1\n",
       "A/S 2816               1\n",
       "SOTON/O.Q. 3101306     1\n",
       "113792                 1\n",
       "36209                  1\n",
       "323592                 1\n",
       "315089                 1\n",
       "359309                 1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datas['Ticket'].value_counts()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "3629df17-9de9-4cd8-a666-e36f67134b48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='TicketGroup', ylabel='Survived'>"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Ticket_Counts = dict(datas['Ticket'].value_counts())\n",
    "datas['TicketGroup'] = datas['Ticket'].apply(lambda x:Ticket_Counts[x])\n",
    "sns.barplot(x='TicketGroup', y='Survived', data=datas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "id": "20c0227f-08c1-44ea-8297-03aebff779a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Ticketlabels', ylabel='Survived'>"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "datas.loc[datas['TicketGroup']>8,'Ticketlabels']=0\n",
    "datas.loc[(datas['TicketGroup']>4)&(datas['TicketGroup']<=8)|(datas['TicketGroup']==1),'Ticketlabels']=1\n",
    "datas.loc[(datas['TicketGroup']>=2)&(datas['TicketGroup']<=4),'Ticketlabels']=2\n",
    "datas['Ticketlabels']=datas['Ticketlabels'].astype(np.int32)\n",
    "sns.barplot(x='Ticketlabels', y='Survived', data=datas)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "da6b8540-44cd-4727-a156-354ab7f4c6fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PassengerId</th>\n",
       "      <th>Survived</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Name</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Age</th>\n",
       "      <th>SibSp</th>\n",
       "      <th>Parch</th>\n",
       "      <th>Ticket</th>\n",
       "      <th>Fare</th>\n",
       "      <th>Cabin</th>\n",
       "      <th>Embarked</th>\n",
       "      <th>Surname</th>\n",
       "      <th>FamilyGroup</th>\n",
       "      <th>Title</th>\n",
       "      <th>FamilySize</th>\n",
       "      <th>Fam_size</th>\n",
       "      <th>Fam_type</th>\n",
       "      <th>Board</th>\n",
       "      <th>TicketGroup</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>62</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Icard, Miss. Amelie</td>\n",
       "      <td>female</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113572</td>\n",
       "      <td>80.0</td>\n",
       "      <td>B28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Icard</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>B</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>829</th>\n",
       "      <td>830</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Stone, Mrs. George Nelson (Martha Evelyn)</td>\n",
       "      <td>female</td>\n",
       "      <td>62.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113572</td>\n",
       "      <td>80.0</td>\n",
       "      <td>B28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Stone</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>B</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PassengerId  Survived  Pclass                                       Name     Sex   Age  SibSp  Parch  Ticket  Fare Cabin Embarked Surname  FamilyGroup Title  FamilySize  Fam_size  Fam_type Board  TicketGroup\n",
       "61            62       1.0       1                        Icard, Miss. Amelie  female  38.0      0      0  113572  80.0   B28      NaN   Icard            1  Miss           1         1         1     B            2\n",
       "829          830       1.0       1  Stone, Mrs. George Nelson (Martha Evelyn)  female  62.0      0      0  113572  80.0   B28      NaN   Stone            1   Mrs           1         1         1     B            2"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datas[datas['Embarked'].isnull()]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "3ca06485-9f95-4f39-8fca-f9e9931b89a0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pclass  Embarked\n",
       "1       C           76.7292\n",
       "        Q           90.0000\n",
       "        S           52.0000\n",
       "2       C           15.3146\n",
       "        Q           12.3500\n",
       "        S           15.3750\n",
       "3       C            7.8958\n",
       "        Q            7.7500\n",
       "        S            8.0500\n",
       "Name: Fare, dtype: float64"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datas.groupby(by=[\"Pclass\",\"Embarked\"]).Fare.median()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "947827fb-3ab3-4e8a-be65-46d494ae5548",
   "metadata": {},
   "outputs": [],
   "source": [
    "datas['Embarked'] = datas['Embarked'].fillna('C')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "id": "4a2cb003-e600-4635-b56c-af8e9cdecaca",
   "metadata": {},
   "outputs": [],
   "source": [
    "datas[datas['Fare'].isnull()]\n",
    "fare=datas[(datas['Embarked'] == \"S\") & (datas['Pclass'] == 3)].Fare.median()\n",
    "datas['Fare']=datas['Fare'].fillna(fare)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "691e26d7-fecb-4927-b61e-e7c3de41a56a",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Shorney, Mr. Charles Joseph</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>374910</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Shorney</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>102</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Petroff, Mr. Pastcho (\"Pentcho\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349215</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Petroff</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>108</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Moss, Mr. Albert Johan</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>312991</td>\n",
       "      <td>7.7750</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Moss</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>110</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Moran, Miss. Bertha</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>371110</td>\n",
       "      <td>24.1500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Moran</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>122</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Moore, Mr. Leonard Charles</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A4. 54510</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Moore</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>127</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>McMahon, Mr. Martin</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370372</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>McMahon</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>129</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Peter, Miss. Anna</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2668</td>\n",
       "      <td>22.3583</td>\n",
       "      <td>F E69</td>\n",
       "      <td>C</td>\n",
       "      <td>Peter</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>F</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>141</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Boulos, Mrs. Joseph (Sultana)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2678</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Boulos</td>\n",
       "      <td>4</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>155</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Olsen, Mr. Ole Martin</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Fa 265302</td>\n",
       "      <td>7.3125</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Olsen</td>\n",
       "      <td>4</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>159</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Smiljanic, Mr. Mile</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>315037</td>\n",
       "      <td>8.6625</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Smiljanic</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>160</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Master. Thomas Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>CA. 2343</td>\n",
       "      <td>69.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Sage</td>\n",
       "      <td>11</td>\n",
       "      <td>Master</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>167</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Chibnall, Mrs. (Edith Martha Bowerman)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>113505</td>\n",
       "      <td>55.0000</td>\n",
       "      <td>E33</td>\n",
       "      <td>S</td>\n",
       "      <td>Chibnall</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>E</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>169</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Baumann, Mr. John D</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17318</td>\n",
       "      <td>25.9250</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Baumann</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>177</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Lefebre, Master. Henry Forbes</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4133</td>\n",
       "      <td>25.4667</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Lefebre</td>\n",
       "      <td>5</td>\n",
       "      <td>Master</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>181</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Miss. Constance Gladys</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>CA. 2343</td>\n",
       "      <td>69.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Sage</td>\n",
       "      <td>11</td>\n",
       "      <td>Miss</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>182</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Pernot, Mr. Rene</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC/PARIS 2131</td>\n",
       "      <td>15.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Pernot</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>186</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Rood, Mr. Hugh Roscoe</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113767</td>\n",
       "      <td>50.0000</td>\n",
       "      <td>A32</td>\n",
       "      <td>S</td>\n",
       "      <td>Rood</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>A</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>187</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Brien, Mrs. Thomas (Johanna \"Hannah\" Godfrey)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>370365</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>O'Brien</td>\n",
       "      <td>3</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>197</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Mernagh, Mr. Robert</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>368703</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Mernagh</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>199</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Madigan, Miss. Margaret \"Maggie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370370</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Madigan</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>202</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Mr. Frederick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>CA. 2343</td>\n",
       "      <td>69.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Sage</td>\n",
       "      <td>11</td>\n",
       "      <td>Mr</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>215</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Kiernan, Mr. Philip</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>367229</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Kiernan</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>224</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Nenkoff, Mr. Christo</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349234</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Nenkoff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>230</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Lefebre, Miss. Mathilde</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4133</td>\n",
       "      <td>25.4667</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Lefebre</td>\n",
       "      <td>5</td>\n",
       "      <td>Miss</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>236</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Harknett, Miss. Alice Phoebe</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>W./C. 6609</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Harknett</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>241</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Zabour, Miss. Thamine</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2665</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Zabour</td>\n",
       "      <td>2</td>\n",
       "      <td>Miss</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>242</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Murphy, Miss. Katherine \"Kate\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>367230</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Murphy</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>251</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Reed, Mr. James George</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>362316</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Reed</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>257</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Thorne, Mrs. Gertrude Maybelle</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17585</td>\n",
       "      <td>79.2000</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Thorne</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>261</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Smith, Mr. Thomas</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>384461</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Smith</td>\n",
       "      <td>6</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>265</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Henry, Miss. Delia</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>382649</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Henry</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>271</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Cairns, Mr. Alexander</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113798</td>\n",
       "      <td>31.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Cairns</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>275</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Healy, Miss. Hanora \"Nora\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370375</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Healy</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>278</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Parkes, Mr. Francis \"Frank\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>239853</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Parkes</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>285</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Smith, Mr. Richard William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113056</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>A19</td>\n",
       "      <td>S</td>\n",
       "      <td>Smith</td>\n",
       "      <td>6</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>A</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>296</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Lewy, Mr. Ervin G</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17612</td>\n",
       "      <td>27.7208</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Lewy</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>299</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Saalfeld, Mr. Adolphe</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>19988</td>\n",
       "      <td>30.5000</td>\n",
       "      <td>C106</td>\n",
       "      <td>S</td>\n",
       "      <td>Saalfeld</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>301</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Kelly, Miss. Anna Katherine \"Annie Kate\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9234</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Kelly</td>\n",
       "      <td>5</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>302</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>McCoy, Mr. Bernard</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>367226</td>\n",
       "      <td>23.2500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>McCoy</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>304</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Keane, Miss. Nora A</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>226593</td>\n",
       "      <td>12.3500</td>\n",
       "      <td>E101</td>\n",
       "      <td>Q</td>\n",
       "      <td>Keane</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>E</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>305</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Williams, Mr. Howard Hugh \"Harry\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 2466</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Williams</td>\n",
       "      <td>5</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>307</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Fleming, Miss. Margaret</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17421</td>\n",
       "      <td>110.8833</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Fleming</td>\n",
       "      <td>2</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>325</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Mr. George John Jr</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>CA. 2343</td>\n",
       "      <td>69.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Sage</td>\n",
       "      <td>11</td>\n",
       "      <td>Mr</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>331</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>McCoy, Miss. Agnes</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>367226</td>\n",
       "      <td>23.2500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>McCoy</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>335</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Frauenthal, Mrs. Henry William (Clara Heinsheimer)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17611</td>\n",
       "      <td>133.6500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Frauenthal</td>\n",
       "      <td>3</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>336</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Denkoff, Mr. Mitto</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349225</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Denkoff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>348</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Davison, Mrs. Thomas Henry (Mary E Finck)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>386525</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Davison</td>\n",
       "      <td>2</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>352</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Williams-Lambert, Mr. Fletcher Fellows</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113510</td>\n",
       "      <td>35.0000</td>\n",
       "      <td>C128</td>\n",
       "      <td>S</td>\n",
       "      <td>Williams-Lambert</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>355</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Yousif, Mr. Wazli</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2647</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Yousif</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>359</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>McGovern, Miss. Mary</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330931</td>\n",
       "      <td>7.8792</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>McGovern</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>360</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Mockler, Miss. Helen Mary \"Ellie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330980</td>\n",
       "      <td>7.8792</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Mockler</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>365</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Brien, Mr. Thomas</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>370365</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>O'Brien</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>368</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Moussa, Mrs. (Mantoura Boulos)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2626</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Moussa</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>369</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Jermyn, Miss. Annie</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14313</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Jermyn</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>376</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Meyer, Mrs. Edgar Joseph (Leila Saks)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17604</td>\n",
       "      <td>82.1708</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Meyer</td>\n",
       "      <td>3</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>385</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Plotcharsky, Mr. Vasil</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349227</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Plotcharsky</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>389</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sadlier, Mr. Matthew</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>367655</td>\n",
       "      <td>7.7292</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Sadlier</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>410</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Lefebre, Miss. Ida</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4133</td>\n",
       "      <td>25.4667</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Lefebre</td>\n",
       "      <td>5</td>\n",
       "      <td>Miss</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>411</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sdycoff, Mr. Todor</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349222</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Sdycoff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>412</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Hart, Mr. Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>394140</td>\n",
       "      <td>6.8583</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Hart</td>\n",
       "      <td>4</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>414</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Cunningham, Mr. Alfred Fleming</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>239853</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Cunningham</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>416</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Meek, Mrs. Thomas (Annie Louise Rowley)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>343095</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Meek</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>421</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Gheorgheff, Mr. Stanio</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349254</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Gheorgheff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>426</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Wiseman, Mr. Phillippe</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/4. 34244</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Wiseman</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>429</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Flynn, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364851</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Flynn</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>432</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Thorneycroft, Mrs. Percival (Florence Kate White)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>376564</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Thorneycroft</td>\n",
       "      <td>2</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>445</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Johannesen-Bratthammer, Mr. Bernt</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>65306</td>\n",
       "      <td>8.1125</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Johannesen-Bratthammer</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>452</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Hagland, Mr. Ingvald Olai Olsen</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>65303</td>\n",
       "      <td>19.9667</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Hagland</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>455</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Peduzzi, Mr. Joseph</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/5 2817</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Peduzzi</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>458</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Kenyon, Mrs. Frederick R (Marion)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>17464</td>\n",
       "      <td>51.8625</td>\n",
       "      <td>D21</td>\n",
       "      <td>S</td>\n",
       "      <td>Kenyon</td>\n",
       "      <td>2</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>D</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>460</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Connor, Mr. Maurice</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>371060</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>O'Connor</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>465</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Maisner, Mr. Simon</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A/S 2816</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Maisner</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>467</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Campbell, Mr. William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>239853</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Campbell</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>469</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Scanlan, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36209</td>\n",
       "      <td>7.7250</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Scanlan</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>471</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Keefe, Mr. Arthur</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>323592</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Keefe</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>476</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Clifford, Mr. George Quincy</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>110465</td>\n",
       "      <td>52.0000</td>\n",
       "      <td>A14</td>\n",
       "      <td>S</td>\n",
       "      <td>Clifford</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>A</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>482</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Frost, Mr. Anthony Wood \"Archie\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>239854</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Frost</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>486</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Lefebre, Miss. Jeannie</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>4133</td>\n",
       "      <td>25.4667</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Lefebre</td>\n",
       "      <td>5</td>\n",
       "      <td>Miss</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>491</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Hagland, Mr. Konrad Mathias Reiersen</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>65304</td>\n",
       "      <td>19.9667</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Hagland</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>496</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Yousseff, Mr. Gerious</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2627</td>\n",
       "      <td>14.4583</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Yousseff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>498</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Shellard, Mr. Frederick William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C.A. 6212</td>\n",
       "      <td>15.1000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Shellard</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>503</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Sullivan, Miss. Bridget Mary</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330909</td>\n",
       "      <td>7.6292</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>O'Sullivan</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>508</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Bradley, Mr. George (\"George Arthur Brayton\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>111427</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Bradley</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>512</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Webber, Mr. James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 3101316</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Webber</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>518</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Ryan, Mr. Patrick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>371110</td>\n",
       "      <td>24.1500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Ryan</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>522</th>\n",
       "      <td>523</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Lahoud, Mr. Sarkis</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2624</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Lahoud</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>525</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Kassem, Mr. Fared</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2700</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Kassem</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>528</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Farthing, Mr. John</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17483</td>\n",
       "      <td>221.7792</td>\n",
       "      <td>C95</td>\n",
       "      <td>S</td>\n",
       "      <td>Farthing</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>532</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Toufik, Mr. Nakli</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2641</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Toufik</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>534</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Peter, Mrs. Catherine (Catherine Rizk)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2668</td>\n",
       "      <td>22.3583</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Peter</td>\n",
       "      <td>3</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>539</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Risien, Mr. Samuel Beard</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364498</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Risien</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>548</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Padro y Manent, Mr. Julian</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC/PARIS 2146</td>\n",
       "      <td>13.8625</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Padro y Manent</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>553</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Brien, Mr. Timothy</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330979</td>\n",
       "      <td>7.8292</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>O'Brien</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>558</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Robbins, Mr. Victor</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17757</td>\n",
       "      <td>227.5250</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Robbins</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>561</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Morrow, Mr. Thomas Rowan</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>372622</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Morrow</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>564</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Simmons, Mr. John</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/OQ 392082</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Simmons</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>565</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Meanwell, Miss. (Marion Ogden)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/O.Q. 392087</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Meanwell</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>569</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Doharr, Mr. Tannous</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2686</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Doharr</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>574</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Kelly, Miss. Mary</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>14312</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Kelly</td>\n",
       "      <td>5</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>579</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Caram, Mrs. Joseph (Maria Elias)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2689</td>\n",
       "      <td>14.4583</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Caram</td>\n",
       "      <td>2</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>585</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Paulner, Mr. Uscher</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3411</td>\n",
       "      <td>8.7125</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Paulner</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>590</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Murdlin, Mr. Joseph</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A./5. 3235</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Murdlin</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593</th>\n",
       "      <td>594</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Bourke, Miss. Mary</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>364848</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Bourke</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>597</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Leitch, Miss. Jessie Wills</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>248727</td>\n",
       "      <td>33.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Leitch</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>599</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Boulos, Mr. Hanna</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2664</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Boulos</td>\n",
       "      <td>4</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>602</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Slabenoff, Mr. Petco</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349214</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Slabenoff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>602</th>\n",
       "      <td>603</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Harrington, Mr. Charles H</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113796</td>\n",
       "      <td>42.4000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Harrington</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>612</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Jardin, Mr. Jose Neto</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/O.Q. 3101305</td>\n",
       "      <td>7.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Jardin</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612</th>\n",
       "      <td>613</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Murphy, Miss. Margaret Jane</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>367230</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Murphy</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>613</th>\n",
       "      <td>614</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Horgan, Mr. John</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370377</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Horgan</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>629</th>\n",
       "      <td>630</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Connell, Mr. Patrick D</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>334912</td>\n",
       "      <td>7.7333</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>O'Connell</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>633</th>\n",
       "      <td>634</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Parr, Mr. William Henry Marsh</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112052</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Parr</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>639</th>\n",
       "      <td>640</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Thorneycroft, Mr. Percival</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>376564</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Thorneycroft</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>644</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Foo, Mr. Choong</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1601</td>\n",
       "      <td>56.4958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Foo</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648</th>\n",
       "      <td>649</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Willey, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>S.O./P.P. 751</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Willey</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>651</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Mitkoff, Mr. Mito</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349221</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Mitkoff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>654</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Leary, Miss. Hanora \"Norah\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330919</td>\n",
       "      <td>7.8292</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>O'Leary</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>656</th>\n",
       "      <td>657</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Radeff, Mr. Alexander</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349223</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Radeff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>668</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Rommetvedt, Mr. Knud Paust</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>312993</td>\n",
       "      <td>7.7750</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Rommetvedt</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>670</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>19996</td>\n",
       "      <td>52.0000</td>\n",
       "      <td>C126</td>\n",
       "      <td>S</td>\n",
       "      <td>Taylor</td>\n",
       "      <td>2</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>C</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>675</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Watson, Mr. Ennis Hastings</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>239856</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Watson</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>681</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Peters, Miss. Katie</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330935</td>\n",
       "      <td>8.1375</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Peters</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>693</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Lam, Mr. Ali</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1601</td>\n",
       "      <td>56.4958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Lam</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>698</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Mullens, Miss. Katherine \"Katie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35852</td>\n",
       "      <td>7.7333</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Mullens</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>709</th>\n",
       "      <td>710</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Moubarek, Master. Halim Gonios (\"William George\")</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2661</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Moubarek</td>\n",
       "      <td>3</td>\n",
       "      <td>Master</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>711</th>\n",
       "      <td>712</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Klaber, Mr. Herman</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113028</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>C124</td>\n",
       "      <td>S</td>\n",
       "      <td>Klaber</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>719</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>McEvoy, Mr. Michael</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36568</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>McEvoy</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>727</th>\n",
       "      <td>728</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Mannion, Miss. Margareth</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36866</td>\n",
       "      <td>7.7375</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Mannion</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>732</th>\n",
       "      <td>733</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>Knight, Mr. Robert J</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>239855</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Knight</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>738</th>\n",
       "      <td>739</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Ivanoff, Mr. Kanio</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349201</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Ivanoff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>739</th>\n",
       "      <td>740</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Nankoff, Mr. Minko</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349218</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Nankoff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>741</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Hawksford, Mr. Walter James</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>16988</td>\n",
       "      <td>30.0000</td>\n",
       "      <td>D45</td>\n",
       "      <td>S</td>\n",
       "      <td>Hawksford</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>D</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>761</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Garfirth, Mr. John</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>358585</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Garfirth</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>766</th>\n",
       "      <td>767</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Brewe, Dr. Arthur Jackson</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112379</td>\n",
       "      <td>39.6000</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Brewe</td>\n",
       "      <td>1</td>\n",
       "      <td>Officer</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>768</th>\n",
       "      <td>769</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Moran, Mr. Daniel J</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>371110</td>\n",
       "      <td>24.1500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Moran</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>774</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Elias, Mr. Dibo</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2674</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Elias</td>\n",
       "      <td>4</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>776</th>\n",
       "      <td>777</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Tobin, Mr. Roger</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>383121</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>F38</td>\n",
       "      <td>Q</td>\n",
       "      <td>Tobin</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>779</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Kilgannon, Mr. Thomas J</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36865</td>\n",
       "      <td>7.7375</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Kilgannon</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>784</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnston, Mr. Andrew G</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>W./C. 6607</td>\n",
       "      <td>23.4500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Johnston</td>\n",
       "      <td>4</td>\n",
       "      <td>Mr</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>791</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Keane, Mr. Andrew \"Andy\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>12460</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Keane</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>792</th>\n",
       "      <td>793</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Miss. Stella Anna</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>CA. 2343</td>\n",
       "      <td>69.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Sage</td>\n",
       "      <td>11</td>\n",
       "      <td>Miss</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>793</th>\n",
       "      <td>794</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Hoyt, Mr. William Fisher</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17600</td>\n",
       "      <td>30.6958</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Hoyt</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>815</th>\n",
       "      <td>816</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Fry, Mr. Richard</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112058</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>B102</td>\n",
       "      <td>S</td>\n",
       "      <td>Fry</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>B</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>826</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Flynn, Mr. John</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>368323</td>\n",
       "      <td>6.9500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Flynn</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>826</th>\n",
       "      <td>827</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Lam, Mr. Len</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1601</td>\n",
       "      <td>56.4958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Lam</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>828</th>\n",
       "      <td>829</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3</td>\n",
       "      <td>McCormack, Mr. Thomas Joseph</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>367228</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>McCormack</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>832</th>\n",
       "      <td>833</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Saad, Mr. Amin</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2671</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Saad</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>837</th>\n",
       "      <td>838</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sirota, Mr. Maurice</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>392092</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Sirota</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>839</th>\n",
       "      <td>840</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Marechal, Mr. Pierre</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>11774</td>\n",
       "      <td>29.7000</td>\n",
       "      <td>C47</td>\n",
       "      <td>C</td>\n",
       "      <td>Marechal</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>C</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>846</th>\n",
       "      <td>847</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Mr. Douglas Bullen</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>CA. 2343</td>\n",
       "      <td>69.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Sage</td>\n",
       "      <td>11</td>\n",
       "      <td>Mr</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>849</th>\n",
       "      <td>850</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>Goldenberg, Mrs. Samuel L (Edwiga Grabowska)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>17453</td>\n",
       "      <td>89.1042</td>\n",
       "      <td>C92</td>\n",
       "      <td>C</td>\n",
       "      <td>Goldenberg</td>\n",
       "      <td>2</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>C</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>859</th>\n",
       "      <td>860</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Razi, Mr. Raihed</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2629</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Razi</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>864</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Sage, Miss. Dorothy Edith \"Dolly\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>CA. 2343</td>\n",
       "      <td>69.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Sage</td>\n",
       "      <td>11</td>\n",
       "      <td>Miss</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>U</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>869</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>van Melkebeke, Mr. Philemon</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345777</td>\n",
       "      <td>9.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>van Melkebeke</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>879</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Laleff, Mr. Kristo</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349217</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Laleff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>889</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>W./C. 6607</td>\n",
       "      <td>23.4500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Johnston</td>\n",
       "      <td>4</td>\n",
       "      <td>Miss</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Ilieff, Mr. Ylio</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349220</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Ilieff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>914</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Flegenheim, Mrs. Alfred (Antoinette)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17598</td>\n",
       "      <td>31.6833</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Flegenheim</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>921</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Samaan, Mr. Elias</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2662</td>\n",
       "      <td>21.6792</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Samaan</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>928</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Roth, Miss. Sarah A</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>342712</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Roth</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>931</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Hee, Mr. Ling</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1601</td>\n",
       "      <td>56.4958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Hee</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>933</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Franklin, Mr. Thomas Parham</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113778</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>D34</td>\n",
       "      <td>S</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>D</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>939</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Shaughnessy, Mr. Patrick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370374</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Shaughnessy</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>946</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>Mangiavacchi, Mr. Serafino Emilio</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC/A.3 2861</td>\n",
       "      <td>15.5792</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Mangiavacchi</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>950</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Davison, Mr. Thomas Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>386525</td>\n",
       "      <td>16.1000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Davison</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>957</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>Corey, Mrs. Percy C (Mary Phyllis Elizabeth Miller)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>F.C.C. 13534</td>\n",
       "      <td>21.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Corey</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>968</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Miles, Mr. Frank</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>359306</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Miles</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>975</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Demetri, Mr. Marinko</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349238</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Demetri</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>976</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>Lamb, Mr. John Joseph</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>240261</td>\n",
       "      <td>10.7083</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Lamb</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Khalil, Mr. Betros</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2660</td>\n",
       "      <td>14.4542</td>\n",
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       "      <td>C</td>\n",
       "      <td>Khalil</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
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       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>980</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Donoghue, Ms. Bridget</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364856</td>\n",
       "      <td>7.7500</td>\n",
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       "      <td>Q</td>\n",
       "      <td>O'Donoghue</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>983</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Pedersen, Mr. Olaf</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>345498</td>\n",
       "      <td>7.7750</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Pedersen</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Guest, Mr. Robert</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>376563</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Guest</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>994</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Foley, Mr. William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>365235</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Foley</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>999</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Ryan, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>383162</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Ryan</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>1000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Willer, Mr. Aaron (Abi Weller\")\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3410</td>\n",
       "      <td>8.7125</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Willer</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>1003</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Shine, Miss. Ellen Natalia</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330968</td>\n",
       "      <td>7.7792</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Shine</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>1008</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Thomas, Mr. John</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2681</td>\n",
       "      <td>6.4375</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Thomas</td>\n",
       "      <td>5</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>1013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Kiernan, Mr. John</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>367227</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Kiernan</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>1016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Kennedy, Mr. John</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>368783</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Kennedy</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>1019</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>McCoy, Miss. Alicia</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>367226</td>\n",
       "      <td>23.2500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>McCoy</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>1025</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Thomas, Mr. Charles P</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2621</td>\n",
       "      <td>6.4375</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Thomas</td>\n",
       "      <td>5</td>\n",
       "      <td>Mr</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>1038</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Hilliard, Mr. Herbert Henry</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17463</td>\n",
       "      <td>51.8625</td>\n",
       "      <td>E46</td>\n",
       "      <td>S</td>\n",
       "      <td>Hilliard</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>E</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>1040</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Crafton, Mr. John Bertram</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>113791</td>\n",
       "      <td>26.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Crafton</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>1043</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Matinoff, Mr. Nicola</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349255</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Matinoff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>1052</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Smyth, Miss. Julia</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>335432</td>\n",
       "      <td>7.7333</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Smyth</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>1055</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Pearce, Mr. Ernest</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>343271</td>\n",
       "      <td>7.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Pearce</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>1060</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Cassebeer, Mrs. Henry Arthur Jr (Eleanor Genevieve Fosdick)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>17770</td>\n",
       "      <td>27.7208</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Cassebeer</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>1062</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Lithman, Mr. Simon</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>S.O./P.P. 251</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Lithman</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>1065</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Torfa, Mr. Assad</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2673</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Torfa</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>1075</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Lane, Mr. Patrick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>7935</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Lane</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>1083</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Salomon, Mr. Abraham L</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>111163</td>\n",
       "      <td>26.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Salomon</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>1091</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Rasmussen, Mrs. (Lena Jacobsen Solvang)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>65305</td>\n",
       "      <td>8.1125</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Rasmussen</td>\n",
       "      <td>1</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>1092</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Murphy, Miss. Nora</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>36568</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Murphy</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>1097</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Omont, Mr. Alfred Fernand</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>F.C. 12998</td>\n",
       "      <td>25.7417</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Omont</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>1103</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Finoli, Mr. Luigi</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/O.Q. 3101308</td>\n",
       "      <td>7.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Finoli</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>1108</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Mahon, Miss. Bridget Delia</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330924</td>\n",
       "      <td>7.8792</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Mahon</td>\n",
       "      <td>2</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>1111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Thomson, Mr. Alexander Morrison</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>32302</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Thomson</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>1117</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Moubarek, Mrs. George (Omine Amenia\" Alexander)\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2661</td>\n",
       "      <td>15.2458</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Moubarek</td>\n",
       "      <td>3</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>1119</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>McNeill, Miss. Bridget</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>370368</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>McNeill</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>1125</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Linehan, Mr. Michael</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>330971</td>\n",
       "      <td>7.8792</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Linehan</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>1135</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Hyman, Mr. Abraham</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3470</td>\n",
       "      <td>7.8875</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Hyman</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>1141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Khalil, Mrs. Betros (Zahie Maria\" Elias)\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2660</td>\n",
       "      <td>14.4542</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Khalil</td>\n",
       "      <td>2</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>1147</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>MacKay, Mr. George William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C.A. 42795</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>MacKay</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>1148</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Mahon, Mr. John</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>AQ/4 3130</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Mahon</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>1157</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Lyntakoff, Mr. Stanko</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>349235</td>\n",
       "      <td>7.8958</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Lyntakoff</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>1158</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Chisholm, Mr. Roderick Robert Crispin</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>112051</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Chisholm</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>1159</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Warren, Mr. Charles William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>C.A. 49867</td>\n",
       "      <td>7.5500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Warren</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>1160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Howard, Miss. May Elizabeth</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A. 2. 39186</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Howard</td>\n",
       "      <td>3</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>1163</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Fox, Mr. Patrick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>368573</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Fox</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>1165</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Lennon, Miss. Mary</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>370371</td>\n",
       "      <td>15.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Lennon</td>\n",
       "      <td>2</td>\n",
       "      <td>Miss</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>1166</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Saade, Mr. Jean Nassr</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2676</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Saade</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>1174</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Fleming, Miss. Honora</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364859</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Fleming</td>\n",
       "      <td>2</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>1178</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Franklin, Mr. Charles (Charles Fardon)</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SOTON/O.Q. 3101314</td>\n",
       "      <td>7.2500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Franklin</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>1180</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Mardirosian, Mr. Sarkis</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2655</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>F E46</td>\n",
       "      <td>C</td>\n",
       "      <td>Mardirosian</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>F</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>1182</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>Rheims, Mr. George Alexander Lucien</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>PC 17607</td>\n",
       "      <td>39.6000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Rheims</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>1184</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Nasr, Mr. Mustafa</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2652</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Nasr</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>1189</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Samaan, Mr. Hanna</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>2662</td>\n",
       "      <td>21.6792</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Samaan</td>\n",
       "      <td>3</td>\n",
       "      <td>Mr</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>1193</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>Malachard, Mr. Noel</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>237735</td>\n",
       "      <td>15.0458</td>\n",
       "      <td>D</td>\n",
       "      <td>C</td>\n",
       "      <td>Malachard</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>D</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>1196</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>McCarthy, Miss. Catherine Katie\"\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>383123</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>McCarthy</td>\n",
       "      <td>2</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>1204</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Sadowitz, Mr. Harry</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>LP 1588</td>\n",
       "      <td>7.5750</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Sadowitz</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>1224</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Thomas, Mr. Tannous</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2684</td>\n",
       "      <td>7.2250</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Thomas</td>\n",
       "      <td>5</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>1231</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Betros, Master. Seman</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2622</td>\n",
       "      <td>7.2292</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Betros</td>\n",
       "      <td>2</td>\n",
       "      <td>Master</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>1236</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>van Billiard, Master. James William</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>A/5. 851</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>van Billiard</td>\n",
       "      <td>3</td>\n",
       "      <td>Master</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>1249</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Lockyer, Mr. Edward</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1222</td>\n",
       "      <td>7.8792</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Lockyer</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>1250</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Keefe, Mr. Patrick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>368402</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>O'Keefe</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>1272</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>O'Connor, Mr. Patrick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>366713</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>O'Connor</td>\n",
       "      <td>2</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>1274</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Risien, Mrs. Samuel (Emma)</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>364498</td>\n",
       "      <td>14.5000</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Risien</td>\n",
       "      <td>2</td>\n",
       "      <td>Mrs</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>1276</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>Wheeler, Mr. Edwin Frederick\"\"</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>SC/PARIS 2159</td>\n",
       "      <td>12.8750</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Wheeler</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>1300</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Riordan, Miss. Johanna Hannah\"\"</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>334915</td>\n",
       "      <td>7.7208</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Riordan</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>1302</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Naughton, Miss. Hannah</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>365237</td>\n",
       "      <td>7.7500</td>\n",
       "      <td>U</td>\n",
       "      <td>Q</td>\n",
       "      <td>Naughton</td>\n",
       "      <td>1</td>\n",
       "      <td>Miss</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>1305</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Spector, Mr. Woolf</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>A.5. 3236</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Spector</td>\n",
       "      <td>1</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>1308</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Ware, Mr. Frederick</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>359309</td>\n",
       "      <td>8.0500</td>\n",
       "      <td>U</td>\n",
       "      <td>S</td>\n",
       "      <td>Ware</td>\n",
       "      <td>4</td>\n",
       "      <td>Mr</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>U</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>1309</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3</td>\n",
       "      <td>Peter, Master. Michael J</td>\n",
       "      <td>male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2668</td>\n",
       "      <td>22.3583</td>\n",
       "      <td>U</td>\n",
       "      <td>C</td>\n",
       "      <td>Peter</td>\n",
       "      <td>3</td>\n",
       "      <td>Master</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>U</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PassengerId  Survived  Pclass                                                         Name     Sex  Age  SibSp  Parch              Ticket      Fare  Cabin Embarked                 Surname  FamilyGroup    Title  FamilySize  Fam_size  Fam_type Board  TicketGroup\n",
       "5              6       0.0       3                                             Moran, Mr. James    male  NaN      0      0              330877    8.4583      U        Q                   Moran            3       Mr           1         1         1     U            1\n",
       "17            18       1.0       2                                 Williams, Mr. Charles Eugene    male  NaN      0      0              244373   13.0000      U        S                Williams            5       Mr           1         1         1     U            1\n",
       "19            20       1.0       3                                      Masselmani, Mrs. Fatima  female  NaN      0      0                2649    7.2250      U        C              Masselmani            1      Mrs           1         1         1     U            1\n",
       "26            27       0.0       3                                      Emir, Mr. Farred Chehab    male  NaN      0      0                2631    7.2250      U        C                    Emir            1       Mr           1         1         1     U            1\n",
       "28            29       1.0       3                                O'Dwyer, Miss. Ellen \"Nellie\"  female  NaN      0      0              330959    7.8792      U        Q                 O'Dwyer            1     Miss           1         1         1     U            1\n",
       "29            30       0.0       3                                          Todoroff, Mr. Lalio    male  NaN      0      0              349216    7.8958      U        S                Todoroff            1       Mr           1         1         1     U            1\n",
       "31            32       1.0       1               Spencer, Mrs. William Augustus (Marie Eugenie)  female  NaN      1      0            PC 17569  146.5208    B78        C                 Spencer            2      Mrs           2         2         2     B            3\n",
       "32            33       1.0       3                                     Glynn, Miss. Mary Agatha  female  NaN      0      0              335677    7.7500      U        Q                   Glynn            1     Miss           1         1         1     U            1\n",
       "36            37       1.0       3                                             Mamee, Mr. Hanna    male  NaN      0      0                2677    7.2292      U        C                   Mamee            1       Mr           1         1         1     U            1\n",
       "42            43       0.0       3                                          Kraeff, Mr. Theodor    male  NaN      0      0              349253    7.8958      U        C                  Kraeff            1       Mr           1         1         1     U            1\n",
       "45            46       0.0       3                                     Rogers, Mr. William John    male  NaN      0      0     S.C./A.4. 23567    8.0500      U        S                  Rogers            2       Mr           1         1         1     U            1\n",
       "46            47       0.0       3                                            Lennon, Mr. Denis    male  NaN      1      0              370371   15.5000      U        Q                  Lennon            2       Mr           2         2         2     U            2\n",
       "47            48       1.0       3                                    O'Driscoll, Miss. Bridget  female  NaN      0      0               14311    7.7500      U        Q              O'Driscoll            1     Miss           1         1         1     U            1\n",
       "48            49       0.0       3                                          Samaan, Mr. Youssef    male  NaN      2      0                2662   21.6792      U        C                  Samaan            3       Mr           3         3         2     U            3\n",
       "55            56       1.0       1                                            Woolner, Mr. Hugh    male  NaN      0      0               19947   35.5000    C52        S                 Woolner            1       Mr           1         1         1     C            1\n",
       "64            65       0.0       1                                        Stewart, Mr. Albert A    male  NaN      0      0            PC 17605   27.7208      U        C                 Stewart            1       Mr           1         1         1     U            1\n",
       "65            66       1.0       3                                     Moubarek, Master. Gerios    male  NaN      1      1                2661   15.2458      U        C                Moubarek            3   Master           3         3         2     U            3\n",
       "76            77       0.0       3                                            Staneff, Mr. Ivan    male  NaN      0      0              349208    7.8958      U        S                 Staneff            1       Mr           1         1         1     U            1\n",
       "77            78       0.0       3                                     Moutal, Mr. Rahamin Haim    male  NaN      0      0              374746    8.0500      U        S                  Moutal            1       Mr           1         1         1     U            1\n",
       "82            83       1.0       3                               McDermott, Miss. Brigdet Delia  female  NaN      0      0              330932    7.7875      U        Q               McDermott            1     Miss           1         1         1     U            1\n",
       "87            88       0.0       3                                Slocovski, Mr. Selman Francis    male  NaN      0      0     SOTON/OQ 392086    8.0500      U        S               Slocovski            1       Mr           1         1         1     U            1\n",
       "95            96       0.0       3                                  Shorney, Mr. Charles Joseph    male  NaN      0      0              374910    8.0500      U        S                 Shorney            1       Mr           1         1         1     U            1\n",
       "101          102       0.0       3                             Petroff, Mr. Pastcho (\"Pentcho\")    male  NaN      0      0              349215    7.8958      U        S                 Petroff            2       Mr           1         1         1     U            1\n",
       "107          108       1.0       3                                       Moss, Mr. Albert Johan    male  NaN      0      0              312991    7.7750      U        S                    Moss            1       Mr           1         1         1     U            1\n",
       "109          110       1.0       3                                          Moran, Miss. Bertha  female  NaN      1      0              371110   24.1500      U        Q                   Moran            3     Miss           2         2         2     U            3\n",
       "121          122       0.0       3                                   Moore, Mr. Leonard Charles    male  NaN      0      0           A4. 54510    8.0500      U        S                   Moore            2       Mr           1         1         1     U            1\n",
       "126          127       0.0       3                                          McMahon, Mr. Martin    male  NaN      0      0              370372    7.7500      U        Q                 McMahon            1       Mr           1         1         1     U            1\n",
       "128          129       1.0       3                                            Peter, Miss. Anna  female  NaN      1      1                2668   22.3583  F E69        C                   Peter            3     Miss           3         3         2     F            3\n",
       "140          141       0.0       3                                Boulos, Mrs. Joseph (Sultana)  female  NaN      0      2                2678   15.2458      U        C                  Boulos            4      Mrs           3         3         2     U            3\n",
       "154          155       0.0       3                                        Olsen, Mr. Ole Martin    male  NaN      0      0           Fa 265302    7.3125      U        S                   Olsen            4       Mr           1         1         1     U            1\n",
       "158          159       0.0       3                                          Smiljanic, Mr. Mile    male  NaN      0      0              315037    8.6625      U        S               Smiljanic            1       Mr           1         1         1     U            1\n",
       "159          160       0.0       3                                   Sage, Master. Thomas Henry    male  NaN      8      2            CA. 2343   69.5500      U        S                    Sage           11   Master          11        11         0     U           11\n",
       "166          167       1.0       1                       Chibnall, Mrs. (Edith Martha Bowerman)  female  NaN      0      1              113505   55.0000    E33        S                Chibnall            1      Mrs           2         2         2     E            2\n",
       "168          169       0.0       1                                          Baumann, Mr. John D    male  NaN      0      0            PC 17318   25.9250      U        S                 Baumann            1       Mr           1         1         1     U            1\n",
       "176          177       0.0       3                                Lefebre, Master. Henry Forbes    male  NaN      3      1                4133   25.4667      U        S                 Lefebre            5   Master           5         5         1     U            5\n",
       "180          181       0.0       3                                 Sage, Miss. Constance Gladys  female  NaN      8      2            CA. 2343   69.5500      U        S                    Sage           11     Miss          11        11         0     U           11\n",
       "181          182       0.0       2                                             Pernot, Mr. Rene    male  NaN      0      0       SC/PARIS 2131   15.0500      U        C                  Pernot            1       Mr           1         1         1     U            1\n",
       "185          186       0.0       1                                        Rood, Mr. Hugh Roscoe    male  NaN      0      0              113767   50.0000    A32        S                    Rood            1       Mr           1         1         1     A            1\n",
       "186          187       1.0       3              O'Brien, Mrs. Thomas (Johanna \"Hannah\" Godfrey)  female  NaN      1      0              370365   15.5000      U        Q                 O'Brien            3      Mrs           2         2         2     U            2\n",
       "196          197       0.0       3                                          Mernagh, Mr. Robert    male  NaN      0      0              368703    7.7500      U        Q                 Mernagh            1       Mr           1         1         1     U            1\n",
       "198          199       1.0       3                             Madigan, Miss. Margaret \"Maggie\"  female  NaN      0      0              370370    7.7500      U        Q                 Madigan            1     Miss           1         1         1     U            1\n",
       "201          202       0.0       3                                          Sage, Mr. Frederick    male  NaN      8      2            CA. 2343   69.5500      U        S                    Sage           11       Mr          11        11         0     U           11\n",
       "214          215       0.0       3                                          Kiernan, Mr. Philip    male  NaN      1      0              367229    7.7500      U        Q                 Kiernan            2       Mr           2         2         2     U            1\n",
       "223          224       0.0       3                                         Nenkoff, Mr. Christo    male  NaN      0      0              349234    7.8958      U        S                 Nenkoff            1       Mr           1         1         1     U            1\n",
       "229          230       0.0       3                                      Lefebre, Miss. Mathilde  female  NaN      3      1                4133   25.4667      U        S                 Lefebre            5     Miss           5         5         1     U            5\n",
       "235          236       0.0       3                                 Harknett, Miss. Alice Phoebe  female  NaN      0      0          W./C. 6609    7.5500      U        S                Harknett            1     Miss           1         1         1     U            1\n",
       "240          241       0.0       3                                        Zabour, Miss. Thamine  female  NaN      1      0                2665   14.4542      U        C                  Zabour            2     Miss           2         2         2     U            2\n",
       "241          242       1.0       3                               Murphy, Miss. Katherine \"Kate\"  female  NaN      1      0              367230   15.5000      U        Q                  Murphy            3     Miss           2         2         2     U            2\n",
       "250          251       0.0       3                                       Reed, Mr. James George    male  NaN      0      0              362316    7.2500      U        S                    Reed            1       Mr           1         1         1     U            1\n",
       "256          257       1.0       1                               Thorne, Mrs. Gertrude Maybelle  female  NaN      0      0            PC 17585   79.2000      U        C                  Thorne            1      Mrs           1         1         1     U            2\n",
       "260          261       0.0       3                                            Smith, Mr. Thomas    male  NaN      0      0              384461    7.7500      U        Q                   Smith            6       Mr           1         1         1     U            1\n",
       "264          265       0.0       3                                           Henry, Miss. Delia  female  NaN      0      0              382649    7.7500      U        Q                   Henry            1     Miss           1         1         1     U            1\n",
       "270          271       0.0       1                                        Cairns, Mr. Alexander    male  NaN      0      0              113798   31.0000      U        S                  Cairns            1       Mr           1         1         1     U            2\n",
       "274          275       1.0       3                                   Healy, Miss. Hanora \"Nora\"  female  NaN      0      0              370375    7.7500      U        Q                   Healy            1     Miss           1         1         1     U            1\n",
       "277          278       0.0       2                                  Parkes, Mr. Francis \"Frank\"    male  NaN      0      0              239853    0.0000      U        S                  Parkes            1       Mr           1         1         1     U            3\n",
       "284          285       0.0       1                                   Smith, Mr. Richard William    male  NaN      0      0              113056   26.0000    A19        S                   Smith            6       Mr           1         1         1     A            1\n",
       "295          296       0.0       1                                            Lewy, Mr. Ervin G    male  NaN      0      0            PC 17612   27.7208      U        C                    Lewy            1       Mr           1         1         1     U            1\n",
       "298          299       1.0       1                                        Saalfeld, Mr. Adolphe    male  NaN      0      0               19988   30.5000   C106        S                Saalfeld            1       Mr           1         1         1     C            1\n",
       "300          301       1.0       3                     Kelly, Miss. Anna Katherine \"Annie Kate\"  female  NaN      0      0                9234    7.7500      U        Q                   Kelly            5     Miss           1         1         1     U            1\n",
       "301          302       1.0       3                                           McCoy, Mr. Bernard    male  NaN      2      0              367226   23.2500      U        Q                   McCoy            3       Mr           3         3         2     U            3\n",
       "303          304       1.0       2                                          Keane, Miss. Nora A  female  NaN      0      0              226593   12.3500   E101        Q                   Keane            3     Miss           1         1         1     E            1\n",
       "304          305       0.0       3                            Williams, Mr. Howard Hugh \"Harry\"    male  NaN      0      0            A/5 2466    8.0500      U        S                Williams            5       Mr           1         1         1     U            1\n",
       "306          307       1.0       1                                      Fleming, Miss. Margaret  female  NaN      0      0               17421  110.8833      U        C                 Fleming            2     Miss           1         1         1     U            4\n",
       "324          325       0.0       3                                     Sage, Mr. George John Jr    male  NaN      8      2            CA. 2343   69.5500      U        S                    Sage           11       Mr          11        11         0     U           11\n",
       "330          331       1.0       3                                           McCoy, Miss. Agnes  female  NaN      2      0              367226   23.2500      U        Q                   McCoy            3     Miss           3         3         2     U            3\n",
       "334          335       1.0       1           Frauenthal, Mrs. Henry William (Clara Heinsheimer)  female  NaN      1      0            PC 17611  133.6500      U        S              Frauenthal            3      Mrs           2         2         2     U            2\n",
       "335          336       0.0       3                                           Denkoff, Mr. Mitto    male  NaN      0      0              349225    7.8958      U        S                 Denkoff            1       Mr           1         1         1     U            1\n",
       "347          348       1.0       3                    Davison, Mrs. Thomas Henry (Mary E Finck)  female  NaN      1      0              386525   16.1000      U        S                 Davison            2      Mrs           2         2         2     U            2\n",
       "351          352       0.0       1                       Williams-Lambert, Mr. Fletcher Fellows    male  NaN      0      0              113510   35.0000   C128        S        Williams-Lambert            1       Mr           1         1         1     C            1\n",
       "354          355       0.0       3                                            Yousif, Mr. Wazli    male  NaN      0      0                2647    7.2250      U        C                  Yousif            1       Mr           1         1         1     U            1\n",
       "358          359       1.0       3                                         McGovern, Miss. Mary  female  NaN      0      0              330931    7.8792      U        Q                McGovern            1     Miss           1         1         1     U            1\n",
       "359          360       1.0       3                            Mockler, Miss. Helen Mary \"Ellie\"  female  NaN      0      0              330980    7.8792      U        Q                 Mockler            1     Miss           1         1         1     U            1\n",
       "364          365       0.0       3                                          O'Brien, Mr. Thomas    male  NaN      1      0              370365   15.5000      U        Q                 O'Brien            3       Mr           2         2         2     U            2\n",
       "367          368       1.0       3                               Moussa, Mrs. (Mantoura Boulos)  female  NaN      0      0                2626    7.2292      U        C                  Moussa            1      Mrs           1         1         1     U            1\n",
       "368          369       1.0       3                                          Jermyn, Miss. Annie  female  NaN      0      0               14313    7.7500      U        Q                  Jermyn            1     Miss           1         1         1     U            1\n",
       "375          376       1.0       1                        Meyer, Mrs. Edgar Joseph (Leila Saks)  female  NaN      1      0            PC 17604   82.1708      U        C                   Meyer            3      Mrs           2         2         2     U            2\n",
       "384          385       0.0       3                                       Plotcharsky, Mr. Vasil    male  NaN      0      0              349227    7.8958      U        S             Plotcharsky            1       Mr           1         1         1     U            1\n",
       "388          389       0.0       3                                         Sadlier, Mr. Matthew    male  NaN      0      0              367655    7.7292      U        Q                 Sadlier            1       Mr           1         1         1     U            1\n",
       "409          410       0.0       3                                           Lefebre, Miss. Ida  female  NaN      3      1                4133   25.4667      U        S                 Lefebre            5     Miss           5         5         1     U            5\n",
       "410          411       0.0       3                                           Sdycoff, Mr. Todor    male  NaN      0      0              349222    7.8958      U        S                 Sdycoff            1       Mr           1         1         1     U            1\n",
       "411          412       0.0       3                                              Hart, Mr. Henry    male  NaN      0      0              394140    6.8583      U        Q                    Hart            4       Mr           1         1         1     U            1\n",
       "413          414       0.0       2                               Cunningham, Mr. Alfred Fleming    male  NaN      0      0              239853    0.0000      U        S              Cunningham            1       Mr           1         1         1     U            3\n",
       "415          416       0.0       3                      Meek, Mrs. Thomas (Annie Louise Rowley)  female  NaN      0      0              343095    8.0500      U        S                    Meek            1      Mrs           1         1         1     U            1\n",
       "420          421       0.0       3                                       Gheorgheff, Mr. Stanio    male  NaN      0      0              349254    7.8958      U        C              Gheorgheff            1       Mr           1         1         1     U            1\n",
       "425          426       0.0       3                                       Wiseman, Mr. Phillippe    male  NaN      0      0          A/4. 34244    7.2500      U        S                 Wiseman            1       Mr           1         1         1     U            1\n",
       "428          429       0.0       3                                             Flynn, Mr. James    male  NaN      0      0              364851    7.7500      U        Q                   Flynn            3       Mr           1         1         1     U            1\n",
       "431          432       1.0       3            Thorneycroft, Mrs. Percival (Florence Kate White)  female  NaN      1      0              376564   16.1000      U        S            Thorneycroft            2      Mrs           2         2         2     U            2\n",
       "444          445       1.0       3                            Johannesen-Bratthammer, Mr. Bernt    male  NaN      0      0               65306    8.1125      U        S  Johannesen-Bratthammer            1       Mr           1         1         1     U            1\n",
       "451          452       0.0       3                              Hagland, Mr. Ingvald Olai Olsen    male  NaN      1      0               65303   19.9667      U        S                 Hagland            2       Mr           2         2         2     U            1\n",
       "454          455       0.0       3                                          Peduzzi, Mr. Joseph    male  NaN      0      0            A/5 2817    8.0500      U        S                 Peduzzi            1       Mr           1         1         1     U            1\n",
       "457          458       1.0       1                            Kenyon, Mrs. Frederick R (Marion)  female  NaN      1      0               17464   51.8625    D21        S                  Kenyon            2      Mrs           2         2         2     D            2\n",
       "459          460       0.0       3                                        O'Connor, Mr. Maurice    male  NaN      0      0              371060    7.7500      U        Q                O'Connor            2       Mr           1         1         1     U            1\n",
       "464          465       0.0       3                                           Maisner, Mr. Simon    male  NaN      0      0            A/S 2816    8.0500      U        S                 Maisner            1       Mr           1         1         1     U            1\n",
       "466          467       0.0       2                                        Campbell, Mr. William    male  NaN      0      0              239853    0.0000      U        S                Campbell            1       Mr           1         1         1     U            3\n",
       "468          469       0.0       3                                           Scanlan, Mr. James    male  NaN      0      0               36209    7.7250      U        Q                 Scanlan            1       Mr           1         1         1     U            1\n",
       "470          471       0.0       3                                            Keefe, Mr. Arthur    male  NaN      0      0              323592    7.2500      U        S                   Keefe            1       Mr           1         1         1     U            1\n",
       "475          476       0.0       1                                  Clifford, Mr. George Quincy    male  NaN      0      0              110465   52.0000    A14        S                Clifford            1       Mr           1         1         1     A            2\n",
       "481          482       0.0       2                             Frost, Mr. Anthony Wood \"Archie\"    male  NaN      0      0              239854    0.0000      U        S                   Frost            1       Mr           1         1         1     U            1\n",
       "485          486       0.0       3                                       Lefebre, Miss. Jeannie  female  NaN      3      1                4133   25.4667      U        S                 Lefebre            5     Miss           5         5         1     U            5\n",
       "490          491       0.0       3                         Hagland, Mr. Konrad Mathias Reiersen    male  NaN      1      0               65304   19.9667      U        S                 Hagland            2       Mr           2         2         2     U            1\n",
       "495          496       0.0       3                                        Yousseff, Mr. Gerious    male  NaN      0      0                2627   14.4583      U        C                Yousseff            1       Mr           1         1         1     U            2\n",
       "497          498       0.0       3                              Shellard, Mr. Frederick William    male  NaN      0      0           C.A. 6212   15.1000      U        S                Shellard            1       Mr           1         1         1     U            2\n",
       "502          503       0.0       3                               O'Sullivan, Miss. Bridget Mary  female  NaN      0      0              330909    7.6292      U        Q              O'Sullivan            1     Miss           1         1         1     U            1\n",
       "507          508       1.0       1                Bradley, Mr. George (\"George Arthur Brayton\")    male  NaN      0      0              111427   26.5500      U        S                 Bradley            2       Mr           1         1         1     U            1\n",
       "511          512       0.0       3                                            Webber, Mr. James    male  NaN      0      0    SOTON/OQ 3101316    8.0500      U        S                  Webber            2       Mr           1         1         1     U            1\n",
       "517          518       0.0       3                                            Ryan, Mr. Patrick    male  NaN      0      0              371110   24.1500      U        Q                    Ryan            2       Mr           1         1         1     U            3\n",
       "522          523       0.0       3                                           Lahoud, Mr. Sarkis    male  NaN      0      0                2624    7.2250      U        C                  Lahoud            1       Mr           1         1         1     U            1\n",
       "524          525       0.0       3                                            Kassem, Mr. Fared    male  NaN      0      0                2700    7.2292      U        C                  Kassem            1       Mr           1         1         1     U            1\n",
       "527          528       0.0       1                                           Farthing, Mr. John    male  NaN      0      0            PC 17483  221.7792    C95        S                Farthing            1       Mr           1         1         1     C            4\n",
       "531          532       0.0       3                                            Toufik, Mr. Nakli    male  NaN      0      0                2641    7.2292      U        C                  Toufik            1       Mr           1         1         1     U            1\n",
       "533          534       1.0       3                       Peter, Mrs. Catherine (Catherine Rizk)  female  NaN      0      2                2668   22.3583      U        C                   Peter            3      Mrs           3         3         2     U            3\n",
       "538          539       0.0       3                                     Risien, Mr. Samuel Beard    male  NaN      0      0              364498   14.5000      U        S                  Risien            2       Mr           1         1         1     U            2\n",
       "547          548       1.0       2                                   Padro y Manent, Mr. Julian    male  NaN      0      0       SC/PARIS 2146   13.8625      U        C          Padro y Manent            1       Mr           1         1         1     U            1\n",
       "552          553       0.0       3                                         O'Brien, Mr. Timothy    male  NaN      0      0              330979    7.8292      U        Q                 O'Brien            3       Mr           1         1         1     U            1\n",
       "557          558       0.0       1                                          Robbins, Mr. Victor    male  NaN      0      0            PC 17757  227.5250      U        C                 Robbins            1       Mr           1         1         1     U            5\n",
       "560          561       0.0       3                                     Morrow, Mr. Thomas Rowan    male  NaN      0      0              372622    7.7500      U        Q                  Morrow            1       Mr           1         1         1     U            1\n",
       "563          564       0.0       3                                            Simmons, Mr. John    male  NaN      0      0     SOTON/OQ 392082    8.0500      U        S                 Simmons            1       Mr           1         1         1     U            1\n",
       "564          565       0.0       3                               Meanwell, Miss. (Marion Ogden)  female  NaN      0      0   SOTON/O.Q. 392087    8.0500      U        S                Meanwell            1     Miss           1         1         1     U            1\n",
       "568          569       0.0       3                                          Doharr, Mr. Tannous    male  NaN      0      0                2686    7.2292      U        C                  Doharr            1       Mr           1         1         1     U            1\n",
       "573          574       1.0       3                                            Kelly, Miss. Mary  female  NaN      0      0               14312    7.7500      U        Q                   Kelly            5     Miss           1         1         1     U            1\n",
       "578          579       0.0       3                             Caram, Mrs. Joseph (Maria Elias)  female  NaN      1      0                2689   14.4583      U        C                   Caram            2      Mrs           2         2         2     U            2\n",
       "584          585       0.0       3                                          Paulner, Mr. Uscher    male  NaN      0      0                3411    8.7125      U        C                 Paulner            1       Mr           1         1         1     U            1\n",
       "589          590       0.0       3                                          Murdlin, Mr. Joseph    male  NaN      0      0          A./5. 3235    8.0500      U        S                 Murdlin            1       Mr           1         1         1     U            1\n",
       "593          594       0.0       3                                           Bourke, Miss. Mary  female  NaN      0      2              364848    7.7500      U        Q                  Bourke            3     Miss           3         3         2     U            1\n",
       "596          597       1.0       2                                   Leitch, Miss. Jessie Wills  female  NaN      0      0              248727   33.0000      U        S                  Leitch            1     Miss           1         1         1     U            3\n",
       "598          599       0.0       3                                            Boulos, Mr. Hanna    male  NaN      0      0                2664    7.2250      U        C                  Boulos            4       Mr           1         1         1     U            1\n",
       "601          602       0.0       3                                         Slabenoff, Mr. Petco    male  NaN      0      0              349214    7.8958      U        S               Slabenoff            1       Mr           1         1         1     U            1\n",
       "602          603       0.0       1                                    Harrington, Mr. Charles H    male  NaN      0      0              113796   42.4000      U        S              Harrington            1       Mr           1         1         1     U            2\n",
       "611          612       0.0       3                                        Jardin, Mr. Jose Neto    male  NaN      0      0  SOTON/O.Q. 3101305    7.0500      U        S                  Jardin            1       Mr           1         1         1     U            1\n",
       "612          613       1.0       3                                  Murphy, Miss. Margaret Jane  female  NaN      1      0              367230   15.5000      U        Q                  Murphy            3     Miss           2         2         2     U            2\n",
       "613          614       0.0       3                                             Horgan, Mr. John    male  NaN      0      0              370377    7.7500      U        Q                  Horgan            1       Mr           1         1         1     U            1\n",
       "629          630       0.0       3                                     O'Connell, Mr. Patrick D    male  NaN      0      0              334912    7.7333      U        Q               O'Connell            1       Mr           1         1         1     U            1\n",
       "633          634       0.0       1                                Parr, Mr. William Henry Marsh    male  NaN      0      0              112052    0.0000      U        S                    Parr            1       Mr           1         1         1     U            1\n",
       "639          640       0.0       3                                   Thorneycroft, Mr. Percival    male  NaN      1      0              376564   16.1000      U        S            Thorneycroft            2       Mr           2         2         2     U            2\n",
       "643          644       1.0       3                                              Foo, Mr. Choong    male  NaN      0      0                1601   56.4958      U        S                     Foo            1       Mr           1         1         1     U            8\n",
       "648          649       0.0       3                                           Willey, Mr. Edward    male  NaN      0      0       S.O./P.P. 751    7.5500      U        S                  Willey            1       Mr           1         1         1     U            1\n",
       "650          651       0.0       3                                            Mitkoff, Mr. Mito    male  NaN      0      0              349221    7.8958      U        S                 Mitkoff            1       Mr           1         1         1     U            1\n",
       "653          654       1.0       3                                O'Leary, Miss. Hanora \"Norah\"  female  NaN      0      0              330919    7.8292      U        Q                 O'Leary            1     Miss           1         1         1     U            1\n",
       "656          657       0.0       3                                        Radeff, Mr. Alexander    male  NaN      0      0              349223    7.8958      U        S                  Radeff            1       Mr           1         1         1     U            1\n",
       "667          668       0.0       3                                   Rommetvedt, Mr. Knud Paust    male  NaN      0      0              312993    7.7750      U        S              Rommetvedt            1       Mr           1         1         1     U            1\n",
       "669          670       1.0       1            Taylor, Mrs. Elmer Zebley (Juliet Cummins Wright)  female  NaN      1      0               19996   52.0000   C126        S                  Taylor            2      Mrs           2         2         2     C            2\n",
       "674          675       0.0       2                                   Watson, Mr. Ennis Hastings    male  NaN      0      0              239856    0.0000      U        S                  Watson            1       Mr           1         1         1     U            1\n",
       "680          681       0.0       3                                          Peters, Miss. Katie  female  NaN      0      0              330935    8.1375      U        Q                  Peters            1     Miss           1         1         1     U            1\n",
       "692          693       1.0       3                                                 Lam, Mr. Ali    male  NaN      0      0                1601   56.4958      U        S                     Lam            2       Mr           1         1         1     U            8\n",
       "697          698       1.0       3                             Mullens, Miss. Katherine \"Katie\"  female  NaN      0      0               35852    7.7333      U        Q                 Mullens            1     Miss           1         1         1     U            1\n",
       "709          710       1.0       3            Moubarek, Master. Halim Gonios (\"William George\")    male  NaN      1      1                2661   15.2458      U        C                Moubarek            3   Master           3         3         2     U            3\n",
       "711          712       0.0       1                                           Klaber, Mr. Herman    male  NaN      0      0              113028   26.5500   C124        S                  Klaber            1       Mr           1         1         1     C            1\n",
       "718          719       0.0       3                                          McEvoy, Mr. Michael    male  NaN      0      0               36568   15.5000      U        Q                  McEvoy            1       Mr           1         1         1     U            2\n",
       "727          728       1.0       3                                     Mannion, Miss. Margareth  female  NaN      0      0               36866    7.7375      U        Q                 Mannion            1     Miss           1         1         1     U            1\n",
       "732          733       0.0       2                                         Knight, Mr. Robert J    male  NaN      0      0              239855    0.0000      U        S                  Knight            1       Mr           1         1         1     U            1\n",
       "738          739       0.0       3                                           Ivanoff, Mr. Kanio    male  NaN      0      0              349201    7.8958      U        S                 Ivanoff            1       Mr           1         1         1     U            1\n",
       "739          740       0.0       3                                           Nankoff, Mr. Minko    male  NaN      0      0              349218    7.8958      U        S                 Nankoff            1       Mr           1         1         1     U            1\n",
       "740          741       1.0       1                                  Hawksford, Mr. Walter James    male  NaN      0      0               16988   30.0000    D45        S               Hawksford            1       Mr           1         1         1     D            1\n",
       "760          761       0.0       3                                           Garfirth, Mr. John    male  NaN      0      0              358585   14.5000      U        S                Garfirth            1       Mr           1         1         1     U            2\n",
       "766          767       0.0       1                                    Brewe, Dr. Arthur Jackson    male  NaN      0      0              112379   39.6000      U        C                   Brewe            1  Officer           1         1         1     U            1\n",
       "768          769       0.0       3                                          Moran, Mr. Daniel J    male  NaN      1      0              371110   24.1500      U        Q                   Moran            3       Mr           2         2         2     U            3\n",
       "773          774       0.0       3                                              Elias, Mr. Dibo    male  NaN      0      0                2674    7.2250      U        C                   Elias            4       Mr           1         1         1     U            1\n",
       "776          777       0.0       3                                             Tobin, Mr. Roger    male  NaN      0      0              383121    7.7500    F38        Q                   Tobin            1       Mr           1         1         1     F            1\n",
       "778          779       0.0       3                                      Kilgannon, Mr. Thomas J    male  NaN      0      0               36865    7.7375      U        Q               Kilgannon            1       Mr           1         1         1     U            1\n",
       "783          784       0.0       3                                       Johnston, Mr. Andrew G    male  NaN      1      2          W./C. 6607   23.4500      U        S                Johnston            4       Mr           4         4         2     U            4\n",
       "790          791       0.0       3                                     Keane, Mr. Andrew \"Andy\"    male  NaN      0      0               12460    7.7500      U        Q                   Keane            3       Mr           1         1         1     U            1\n",
       "792          793       0.0       3                                      Sage, Miss. Stella Anna  female  NaN      8      2            CA. 2343   69.5500      U        S                    Sage           11     Miss          11        11         0     U           11\n",
       "793          794       0.0       1                                     Hoyt, Mr. William Fisher    male  NaN      0      0            PC 17600   30.6958      U        C                    Hoyt            3       Mr           1         1         1     U            1\n",
       "815          816       0.0       1                                             Fry, Mr. Richard    male  NaN      0      0              112058    0.0000   B102        S                     Fry            1       Mr           1         1         1     B            2\n",
       "825          826       0.0       3                                              Flynn, Mr. John    male  NaN      0      0              368323    6.9500      U        Q                   Flynn            3       Mr           1         1         1     U            1\n",
       "826          827       0.0       3                                                 Lam, Mr. Len    male  NaN      0      0                1601   56.4958      U        S                     Lam            2       Mr           1         1         1     U            8\n",
       "828          829       1.0       3                                 McCormack, Mr. Thomas Joseph    male  NaN      0      0              367228    7.7500      U        Q               McCormack            1       Mr           1         1         1     U            1\n",
       "832          833       0.0       3                                               Saad, Mr. Amin    male  NaN      0      0                2671    7.2292      U        C                    Saad            2       Mr           1         1         1     U            1\n",
       "837          838       0.0       3                                          Sirota, Mr. Maurice    male  NaN      0      0              392092    8.0500      U        S                  Sirota            1       Mr           1         1         1     U            1\n",
       "839          840       1.0       1                                         Marechal, Mr. Pierre    male  NaN      0      0               11774   29.7000    C47        C                Marechal            1       Mr           1         1         1     C            1\n",
       "846          847       0.0       3                                     Sage, Mr. Douglas Bullen    male  NaN      8      2            CA. 2343   69.5500      U        S                    Sage           11       Mr          11        11         0     U           11\n",
       "849          850       1.0       1                 Goldenberg, Mrs. Samuel L (Edwiga Grabowska)  female  NaN      1      0               17453   89.1042    C92        C              Goldenberg            2      Mrs           2         2         2     C            2\n",
       "859          860       0.0       3                                             Razi, Mr. Raihed    male  NaN      0      0                2629    7.2292      U        C                    Razi            1       Mr           1         1         1     U            1\n",
       "863          864       0.0       3                            Sage, Miss. Dorothy Edith \"Dolly\"  female  NaN      8      2            CA. 2343   69.5500      U        S                    Sage           11     Miss          11        11         0     U           11\n",
       "868          869       0.0       3                                  van Melkebeke, Mr. Philemon    male  NaN      0      0              345777    9.5000      U        S           van Melkebeke            1       Mr           1         1         1     U            1\n",
       "878          879       0.0       3                                           Laleff, Mr. Kristo    male  NaN      0      0              349217    7.8958      U        S                  Laleff            1       Mr           1         1         1     U            1\n",
       "888          889       0.0       3                     Johnston, Miss. Catherine Helen \"Carrie\"  female  NaN      1      2          W./C. 6607   23.4500      U        S                Johnston            4     Miss           4         4         2     U            4\n",
       "10           902       NaN       3                                             Ilieff, Mr. Ylio    male  NaN      0      0              349220    7.8958      U        S                  Ilieff            1       Mr           1         1         1     U            1\n",
       "22           914       NaN       1                         Flegenheim, Mrs. Alfred (Antoinette)  female  NaN      0      0            PC 17598   31.6833      U        S              Flegenheim            1      Mrs           1         1         1     U            1\n",
       "29           921       NaN       3                                            Samaan, Mr. Elias    male  NaN      2      0                2662   21.6792      U        C                  Samaan            3       Mr           3         3         2     U            3\n",
       "36           928       NaN       3                                          Roth, Miss. Sarah A  female  NaN      0      0              342712    8.0500      U        S                    Roth            1     Miss           1         1         1     U            1\n",
       "39           931       NaN       3                                                Hee, Mr. Ling    male  NaN      0      0                1601   56.4958      U        S                     Hee            1       Mr           1         1         1     U            8\n",
       "41           933       NaN       1                                  Franklin, Mr. Thomas Parham    male  NaN      0      0              113778   26.5500    D34        S                Franklin            2       Mr           1         1         1     D            1\n",
       "47           939       NaN       3                                     Shaughnessy, Mr. Patrick    male  NaN      0      0              370374    7.7500      U        Q             Shaughnessy            1       Mr           1         1         1     U            1\n",
       "54           946       NaN       2                            Mangiavacchi, Mr. Serafino Emilio    male  NaN      0      0         SC/A.3 2861   15.5792      U        C            Mangiavacchi            1       Mr           1         1         1     U            1\n",
       "58           950       NaN       3                                    Davison, Mr. Thomas Henry    male  NaN      1      0              386525   16.1000      U        S                 Davison            2       Mr           2         2         2     U            2\n",
       "65           957       NaN       2          Corey, Mrs. Percy C (Mary Phyllis Elizabeth Miller)  female  NaN      0      0        F.C.C. 13534   21.0000      U        S                   Corey            1      Mrs           1         1         1     U            2\n",
       "76           968       NaN       3                                             Miles, Mr. Frank    male  NaN      0      0              359306    8.0500      U        S                   Miles            1       Mr           1         1         1     U            1\n",
       "83           975       NaN       3                                         Demetri, Mr. Marinko    male  NaN      0      0              349238    7.8958      U        S                 Demetri            1       Mr           1         1         1     U            1\n",
       "84           976       NaN       2                                        Lamb, Mr. John Joseph    male  NaN      0      0              240261   10.7083      U        Q                    Lamb            1       Mr           1         1         1     U            1\n",
       "85           977       NaN       3                                           Khalil, Mr. Betros    male  NaN      1      0                2660   14.4542      U        C                  Khalil            2       Mr           2         2         2     U            2\n",
       "88           980       NaN       3                                      O'Donoghue, Ms. Bridget  female  NaN      0      0              364856    7.7500      U        Q              O'Donoghue            1      Mrs           1         1         1     U            1\n",
       "91           983       NaN       3                                           Pedersen, Mr. Olaf    male  NaN      0      0              345498    7.7750      U        S                Pedersen            1       Mr           1         1         1     U            1\n",
       "93           985       NaN       3                                            Guest, Mr. Robert    male  NaN      0      0              376563    8.0500      U        S                   Guest            1       Mr           1         1         1     U            1\n",
       "102          994       NaN       3                                           Foley, Mr. William    male  NaN      0      0              365235    7.7500      U        Q                   Foley            2       Mr           1         1         1     U            1\n",
       "107          999       NaN       3                                             Ryan, Mr. Edward    male  NaN      0      0              383162    7.7500      U        Q                    Ryan            2       Mr           1         1         1     U            1\n",
       "108         1000       NaN       3                             Willer, Mr. Aaron (Abi Weller\")\"    male  NaN      0      0                3410    8.7125      U        S                  Willer            1       Mr           1         1         1     U            1\n",
       "111         1003       NaN       3                                   Shine, Miss. Ellen Natalia  female  NaN      0      0              330968    7.7792      U        Q                   Shine            1     Miss           1         1         1     U            1\n",
       "116         1008       NaN       3                                             Thomas, Mr. John    male  NaN      0      0                2681    6.4375      U        C                  Thomas            5       Mr           1         1         1     U            1\n",
       "121         1013       NaN       3                                            Kiernan, Mr. John    male  NaN      1      0              367227    7.7500      U        Q                 Kiernan            2       Mr           2         2         2     U            1\n",
       "124         1016       NaN       3                                            Kennedy, Mr. John    male  NaN      0      0              368783    7.7500      U        Q                 Kennedy            1       Mr           1         1         1     U            1\n",
       "127         1019       NaN       3                                          McCoy, Miss. Alicia  female  NaN      2      0              367226   23.2500      U        Q                   McCoy            3     Miss           3         3         2     U            3\n",
       "133         1025       NaN       3                                        Thomas, Mr. Charles P    male  NaN      1      0                2621    6.4375      U        C                  Thomas            5       Mr           2         2         2     U            1\n",
       "146         1038       NaN       1                                  Hilliard, Mr. Herbert Henry    male  NaN      0      0               17463   51.8625    E46        S                Hilliard            1       Mr           1         1         1     E            2\n",
       "148         1040       NaN       1                                    Crafton, Mr. John Bertram    male  NaN      0      0              113791   26.5500      U        S                 Crafton            1       Mr           1         1         1     U            1\n",
       "151         1043       NaN       3                                         Matinoff, Mr. Nicola    male  NaN      0      0              349255    7.8958      U        C                Matinoff            1       Mr           1         1         1     U            1\n",
       "160         1052       NaN       3                                           Smyth, Miss. Julia  female  NaN      0      0              335432    7.7333      U        Q                   Smyth            1     Miss           1         1         1     U            1\n",
       "163         1055       NaN       3                                           Pearce, Mr. Ernest    male  NaN      0      0              343271    7.0000      U        S                  Pearce            1       Mr           1         1         1     U            1\n",
       "168         1060       NaN       1  Cassebeer, Mrs. Henry Arthur Jr (Eleanor Genevieve Fosdick)  female  NaN      0      0               17770   27.7208      U        C               Cassebeer            1      Mrs           1         1         1     U            1\n",
       "170         1062       NaN       3                                           Lithman, Mr. Simon    male  NaN      0      0       S.O./P.P. 251    7.5500      U        S                 Lithman            1       Mr           1         1         1     U            1\n",
       "173         1065       NaN       3                                             Torfa, Mr. Assad    male  NaN      0      0                2673    7.2292      U        C                   Torfa            1       Mr           1         1         1     U            1\n",
       "183         1075       NaN       3                                            Lane, Mr. Patrick    male  NaN      0      0                7935    7.7500      U        Q                    Lane            1       Mr           1         1         1     U            1\n",
       "191         1083       NaN       1                                       Salomon, Mr. Abraham L    male  NaN      0      0              111163   26.0000      U        S                 Salomon            1       Mr           1         1         1     U            1\n",
       "199         1091       NaN       3                      Rasmussen, Mrs. (Lena Jacobsen Solvang)  female  NaN      0      0               65305    8.1125      U        S               Rasmussen            1      Mrs           1         1         1     U            1\n",
       "200         1092       NaN       3                                           Murphy, Miss. Nora  female  NaN      0      0               36568   15.5000      U        Q                  Murphy            3     Miss           1         1         1     U            2\n",
       "205         1097       NaN       1                                    Omont, Mr. Alfred Fernand    male  NaN      0      0          F.C. 12998   25.7417      U        C                   Omont            1       Mr           1         1         1     U            1\n",
       "211         1103       NaN       3                                            Finoli, Mr. Luigi    male  NaN      0      0  SOTON/O.Q. 3101308    7.0500      U        S                  Finoli            1       Mr           1         1         1     U            1\n",
       "216         1108       NaN       3                                   Mahon, Miss. Bridget Delia  female  NaN      0      0              330924    7.8792      U        Q                   Mahon            2     Miss           1         1         1     U            1\n",
       "219         1111       NaN       3                              Thomson, Mr. Alexander Morrison    male  NaN      0      0               32302    8.0500      U        S                 Thomson            1       Mr           1         1         1     U            1\n",
       "225         1117       NaN       3             Moubarek, Mrs. George (Omine Amenia\" Alexander)\"  female  NaN      0      2                2661   15.2458      U        C                Moubarek            3      Mrs           3         3         2     U            3\n",
       "227         1119       NaN       3                                       McNeill, Miss. Bridget  female  NaN      0      0              370368    7.7500      U        Q                 McNeill            1     Miss           1         1         1     U            1\n",
       "233         1125       NaN       3                                         Linehan, Mr. Michael    male  NaN      0      0              330971    7.8792      U        Q                 Linehan            1       Mr           1         1         1     U            1\n",
       "243         1135       NaN       3                                           Hyman, Mr. Abraham    male  NaN      0      0                3470    7.8875      U        S                   Hyman            1       Mr           1         1         1     U            1\n",
       "249         1141       NaN       3                    Khalil, Mrs. Betros (Zahie Maria\" Elias)\"  female  NaN      1      0                2660   14.4542      U        C                  Khalil            2      Mrs           2         2         2     U            2\n",
       "255         1147       NaN       3                                   MacKay, Mr. George William    male  NaN      0      0          C.A. 42795    7.5500      U        S                  MacKay            1       Mr           1         1         1     U            1\n",
       "256         1148       NaN       3                                              Mahon, Mr. John    male  NaN      0      0           AQ/4 3130    7.7500      U        Q                   Mahon            2       Mr           1         1         1     U            1\n",
       "265         1157       NaN       3                                        Lyntakoff, Mr. Stanko    male  NaN      0      0              349235    7.8958      U        S               Lyntakoff            1       Mr           1         1         1     U            1\n",
       "266         1158       NaN       1                        Chisholm, Mr. Roderick Robert Crispin    male  NaN      0      0              112051    0.0000      U        S                Chisholm            1       Mr           1         1         1     U            1\n",
       "267         1159       NaN       3                                  Warren, Mr. Charles William    male  NaN      0      0          C.A. 49867    7.5500      U        S                  Warren            3       Mr           1         1         1     U            1\n",
       "268         1160       NaN       3                                  Howard, Miss. May Elizabeth  female  NaN      0      0         A. 2. 39186    8.0500      U        S                  Howard            3     Miss           1         1         1     U            1\n",
       "271         1163       NaN       3                                             Fox, Mr. Patrick    male  NaN      0      0              368573    7.7500      U        Q                     Fox            2       Mr           1         1         1     U            1\n",
       "273         1165       NaN       3                                           Lennon, Miss. Mary  female  NaN      1      0              370371   15.5000      U        Q                  Lennon            2     Miss           2         2         2     U            2\n",
       "274         1166       NaN       3                                        Saade, Mr. Jean Nassr    male  NaN      0      0                2676    7.2250      U        C                   Saade            1       Mr           1         1         1     U            1\n",
       "282         1174       NaN       3                                        Fleming, Miss. Honora  female  NaN      0      0              364859    7.7500      U        Q                 Fleming            2     Miss           1         1         1     U            1\n",
       "286         1178       NaN       3                       Franklin, Mr. Charles (Charles Fardon)    male  NaN      0      0  SOTON/O.Q. 3101314    7.2500      U        S                Franklin            2       Mr           1         1         1     U            1\n",
       "288         1180       NaN       3                                      Mardirosian, Mr. Sarkis    male  NaN      0      0                2655    7.2292  F E46        C             Mardirosian            1       Mr           1         1         1     F            1\n",
       "290         1182       NaN       1                          Rheims, Mr. George Alexander Lucien    male  NaN      0      0            PC 17607   39.6000      U        S                  Rheims            1       Mr           1         1         1     U            1\n",
       "292         1184       NaN       3                                            Nasr, Mr. Mustafa    male  NaN      0      0                2652    7.2292      U        C                    Nasr            1       Mr           1         1         1     U            1\n",
       "297         1189       NaN       3                                            Samaan, Mr. Hanna    male  NaN      2      0                2662   21.6792      U        C                  Samaan            3       Mr           3         3         2     U            3\n",
       "301         1193       NaN       2                                          Malachard, Mr. Noel    male  NaN      0      0              237735   15.0458      D        C               Malachard            1       Mr           1         1         1     D            1\n",
       "304         1196       NaN       3                            McCarthy, Miss. Catherine Katie\"\"  female  NaN      0      0              383123    7.7500      U        Q                McCarthy            2     Miss           1         1         1     U            1\n",
       "312         1204       NaN       3                                          Sadowitz, Mr. Harry    male  NaN      0      0             LP 1588    7.5750      U        S                Sadowitz            1       Mr           1         1         1     U            1\n",
       "332         1224       NaN       3                                          Thomas, Mr. Tannous    male  NaN      0      0                2684    7.2250      U        C                  Thomas            5       Mr           1         1         1     U            1\n",
       "339         1231       NaN       3                                        Betros, Master. Seman    male  NaN      0      0                2622    7.2292      U        C                  Betros            2   Master           1         1         1     U            1\n",
       "344         1236       NaN       3                          van Billiard, Master. James William    male  NaN      1      1            A/5. 851   14.5000      U        S            van Billiard            3   Master           3         3         2     U            3\n",
       "357         1249       NaN       3                                          Lockyer, Mr. Edward    male  NaN      0      0                1222    7.8792      U        S                 Lockyer            1       Mr           1         1         1     U            1\n",
       "358         1250       NaN       3                                         O'Keefe, Mr. Patrick    male  NaN      0      0              368402    7.7500      U        Q                 O'Keefe            1       Mr           1         1         1     U            1\n",
       "380         1272       NaN       3                                        O'Connor, Mr. Patrick    male  NaN      0      0              366713    7.7500      U        Q                O'Connor            2       Mr           1         1         1     U            1\n",
       "382         1274       NaN       3                                   Risien, Mrs. Samuel (Emma)  female  NaN      0      0              364498   14.5000      U        S                  Risien            2      Mrs           1         1         1     U            2\n",
       "384         1276       NaN       2                               Wheeler, Mr. Edwin Frederick\"\"    male  NaN      0      0       SC/PARIS 2159   12.8750      U        S                 Wheeler            1       Mr           1         1         1     U            1\n",
       "408         1300       NaN       3                              Riordan, Miss. Johanna Hannah\"\"  female  NaN      0      0              334915    7.7208      U        Q                 Riordan            1     Miss           1         1         1     U            1\n",
       "410         1302       NaN       3                                       Naughton, Miss. Hannah  female  NaN      0      0              365237    7.7500      U        Q                Naughton            1     Miss           1         1         1     U            1\n",
       "413         1305       NaN       3                                           Spector, Mr. Woolf    male  NaN      0      0           A.5. 3236    8.0500      U        S                 Spector            1       Mr           1         1         1     U            1\n",
       "416         1308       NaN       3                                          Ware, Mr. Frederick    male  NaN      0      0              359309    8.0500      U        S                    Ware            4       Mr           1         1         1     U            1\n",
       "417         1309       NaN       3                                     Peter, Master. Michael J    male  NaN      1      1                2668   22.3583      U        C                   Peter            3   Master           3         3         2     U            3"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datas[datas['Age'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "795c4146-1163-4301-9433-5f4183c68229",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "ages = datas[['Age', 'Pclass','Sex','Title']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "6599315c-7e1a-4f5b-9e24-7a81fcbdcaf8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Title</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22.0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>Mr</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>Mrs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26.0</td>\n",
       "      <td>3</td>\n",
       "      <td>female</td>\n",
       "      <td>Miss</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>female</td>\n",
       "      <td>Mrs</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35.0</td>\n",
       "      <td>3</td>\n",
       "      <td>male</td>\n",
       "      <td>Mr</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Age  Pclass     Sex Title\n",
       "0  22.0       3    male    Mr\n",
       "1  38.0       1  female   Mrs\n",
       "2  26.0       3  female  Miss\n",
       "3  35.0       1  female   Mrs\n",
       "4  35.0       3    male    Mr"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ages.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "64fd53b0-9ce4-44e8-aabb-e5fe89f2686c",
   "metadata": {},
   "outputs": [],
   "source": [
    "ages=pd.get_dummies(ages)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "dcb9e801-d8a2-4f80-9b1b-62a03de13be9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Pclass</th>\n",
       "      <th>Sex_female</th>\n",
       "      <th>Sex_male</th>\n",
       "      <th>Title_Master</th>\n",
       "      <th>Title_Miss</th>\n",
       "      <th>Title_Mr</th>\n",
       "      <th>Title_Mrs</th>\n",
       "      <th>Title_Officer</th>\n",
       "      <th>Title_Royalty</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>22.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>38.0</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26.0</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>35.0</td>\n",
       "      <td>1</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Age  Pclass  Sex_female  Sex_male  Title_Master  Title_Miss  Title_Mr  Title_Mrs  Title_Officer  Title_Royalty\n",
       "0  22.0       3       False      True         False       False      True      False          False          False\n",
       "1  38.0       1        True     False         False       False     False       True          False          False\n",
       "2  26.0       3        True     False         False        True     False      False          False          False\n",
       "3  35.0       1        True     False         False       False     False       True          False          False\n",
       "4  35.0       3       False      True         False       False      True      False          False          False"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ages.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "d646e739-b49f-4601-aef7-1575ca9ce342",
   "metadata": {},
   "outputs": [],
   "source": [
    "known_ages = ages[ages.Age.notnull()].values\n",
    "unknown_ages = ages[ages.Age.isnull()].values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "78a8b020-2313-48c7-8497-67507d4389ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(255, 10)"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "unknown_ages.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "99764151-a11b-43fe-b46f-971fb4cf620e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[22.0 38.0 26.0 ... 28.0 39.0 38.5]\n"
     ]
    }
   ],
   "source": [
    "y = known_ages[:, 0]\n",
    "print(y)\n",
    "# 年龄的那一列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "id": "e780b6d4-d118-4090-9d6a-6d693b85e74b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[3 False True ... False False False]\n",
      " [1 True False ... True False False]\n",
      " [3 True False ... False False False]\n",
      " ...\n",
      " [3 True False ... False False False]\n",
      " [1 True False ... False False True]\n",
      " [3 False True ... False False False]]\n"
     ]
    }
   ],
   "source": [
    "X = known_ages[:, 1:]\n",
    "print(X)\n",
    "# 从年龄的这一列到最后一列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "id": "dca4baba-8c05-4fda-80f6-4e2ac91fc6f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "rfr = RandomForestRegressor(random_state=60, n_estimators=100, n_jobs=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "cd84a8c0-fcdd-4833-bfe4-f2570e0fe2b0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RandomForestRegressor(n_jobs=-1, random_state=60)\n"
     ]
    }
   ],
   "source": [
    "print(rfr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "id": "33706023-9fec-4cf4-a978-ae29443aff44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomForestRegressor(n_jobs=-1, random_state=60)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" checked><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestRegressor</label><div class=\"sk-toggleable__content\"><pre>RandomForestRegressor(n_jobs=-1, random_state=60)</pre></div></div></div></div></div>"
      ],
      "text/plain": [
       "RandomForestRegressor(n_jobs=-1, random_state=60)"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rfr.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "id": "f36a0849-519f-4eb6-b973-d914446c7ec3",
   "metadata": {},
   "outputs": [],
   "source": [
    "pre_ages = rfr.predict(unknown_ages[:, 1::])\n",
    "# print(unknown_ages[:, 1::])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "id": "9fe41660-5218-410d-a35b-acc775015046",
   "metadata": {},
   "outputs": [],
   "source": [
    "datas.loc[ (datas.Age.isnull()), 'Age' ] = pre_ages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "9a0262a7-cc9a-4f68-82c4-8fd4c6a03f87",
   "metadata": {},
   "outputs": [],
   "source": [
    "datas['Surname']=datas['Name'].apply(lambda x:x.split(',')[0].strip())\n",
    "Surname_Count = dict(datas['Surname'].value_counts())\n",
    "datas['FamilyGroup'] = datas['Surname'].apply(lambda x:Surname_Count[x])\n",
    "Female_Child_Group=datas.loc[(datas['FamilyGroup']>=2) & ((datas['Age']<=12) | (datas['Sex']=='female'))]\n",
    "Male_Adult_Group=datas.loc[(datas['FamilyGroup']>=2) & (datas['Age']>12) & (datas['Sex']=='male')]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "bdbc98c0-89c5-4002-826e-04a36bbf2cef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'AverageSurvived')"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Female_Child=pd.DataFrame(Female_Child_Group.groupby('Surname')['Survived'].mean().value_counts())\n",
    "Female_Child.columns=['GroupCount']\n",
    "sns.barplot(x=Female_Child.index, y=Female_Child[\"GroupCount\"]).set_xlabel('AverageSurvived')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "id": "aeb6625e-2aeb-436c-8564-4bd22638ce79",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>GroupCount</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Survived</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.000000</th>\n",
       "      <td>123</td>\n",
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       "    <tr>\n",
       "      <th>1.000000</th>\n",
       "      <td>21</td>\n",
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       "      <td>6</td>\n",
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       "      <td>2</td>\n",
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       "      <th>0.250000</th>\n",
       "      <td>1</td>\n",
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      ],
      "text/plain": [
       "          GroupCount\n",
       "Survived            \n",
       "0.000000         123\n",
       "1.000000          21\n",
       "0.500000           6\n",
       "0.333333           2\n",
       "0.250000           1"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Male_Adult=pd.DataFrame(Male_Adult_Group.groupby('Surname')['Survived'].mean().value_counts())\n",
    "Male_Adult.columns=['GroupCount']\n",
    "Male_Adult\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "15e8d467-9c6d-4003-8ec0-bff9540c3fec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Palsson', 'Rice', 'Ilmakangas', 'Zabour', 'Oreskovic', 'Canavan', 'Arnold-Franchi', 'Sage', 'Johnston', 'Lahtinen', 'Barbara', 'Olsson', 'Rosblom', 'Ford', 'Jussila', 'Vander Planke', 'Danbom', 'Goodwin', 'Van Impe', 'Panula', 'Attalah', 'Skoog', 'Strom', 'Lobb', 'Cacic', 'Caram', 'Bourke', 'Lefebre', 'Turpin', 'Robins', 'Boulos'}\n",
      "{'Cardeza', 'Duff Gordon', 'Kimball', 'Nakid', 'Dick', 'Bradley', 'Frolicher-Stehli', 'Greenfield', 'Taylor', 'Jonsson', 'Moubarek', 'Bishop', 'Frauenthal', 'Jussila', 'Beckwith', 'Beane', 'McCoy', 'Goldenberg', 'Chambers', 'Daly', 'Harder'}\n"
     ]
    }
   ],
   "source": [
    "Female_Child_Group=Female_Child_Group.groupby('Surname')['Survived'].mean()\n",
    "Dead_List=set(Female_Child_Group[Female_Child_Group.apply(lambda x:x==0)].index)\n",
    "print(Dead_List)\n",
    "Male_Adult_List=Male_Adult_Group.groupby('Surname')['Survived'].mean()\n",
    "Survived_List=set(Male_Adult_List[Male_Adult_List.apply(lambda x:x==1)].index)\n",
    "print(Survived_List)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "381ee552-2592-4668-9c9a-05bd1c69edba",
   "metadata": {},
   "outputs": [],
   "source": [
    "train=datas.loc[datas['Survived'].notnull()]\n",
    "test=datas.loc[datas['Survived'].isnull()]\n",
    "test.loc[(test['Surname'].apply(lambda x:x in Dead_List)),'Sex'] = 'male'\n",
    "test.loc[(test['Surname'].apply(lambda x:x in Dead_List)),'Age'] = 60\n",
    "test.loc[(test['Surname'].apply(lambda x:x in Dead_List)),'Title'] = 'Mr'\n",
    "test.loc[(test['Surname'].apply(lambda x:x in Survived_List)),'Sex'] = 'female'\n",
    "test.loc[(test['Surname'].apply(lambda x:x in Survived_List)),'Age'] = 5\n",
    "test.loc[(test['Surname'].apply(lambda x:x in Survived_List)),'Title'] = 'Miss'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "id": "96ec50ad-736b-4958-be8c-12a2e1a2df8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# datas=pd.concat([train, test])\n",
    "# datas.head()\n",
    "datas=datas[['Survived','Pclass','Sex','Age','Fare','Embarked','Title','Fam_type','Board','Ticketlabels']]\n",
    "datas=pd.get_dummies(datas)\n",
    "train=datas[datas['Survived'].notnull()]\n",
    "test=datas[datas['Survived'].isnull()].drop('Survived',axis=1)\n",
    "X = train.values[:,1:]\n",
    "y = train.values[:,0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "id": "2414ce55-bca8-44a1-9aec-808ef43d2712",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LogisticRegression as LR\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.feature_selection import SelectFromModel\n",
    "from sklearn.model_selection import cross_val_score\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "\n",
    "lr = LR(penalty=\"l2\",solver=\"liblinear\",C=0.9850000000000004,max_iter=200).fit(X,y.astype('int'))\n",
    "# cross_val_score(lr,X,y,cv=10).mean()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "ad66cba0-8565-4b66-8bea-79b09b98d848",
   "metadata": {},
   "outputs": [],
   "source": [
    "predictions = lr.predict(test)\n",
    "test=pd.read_csv('test.csv')\n",
    "PassengerId=test['PassengerId']\n",
    "prdict_test = pd.DataFrame({\"PassengerId\": PassengerId, \"Survived\": predictions.astype(np.int32)})\n",
    "prdict_test.to_csv(\"prdict_test.csv\", index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d7bb66c9-fb09-4920-b2e1-f6bce8471252",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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